Overview
Brought to you by YData
Dataset statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Number of variables | 27 | 27 |
| Number of observations | 8950 | 13007 |
| Missing cells | 21475 | 62413 |
| Missing cells (%) | 8.9% | 17.8% |
| Duplicate rows | 0 | 0 |
| Duplicate rows (%) | 0.0% | 0.0% |
| Total size in memory | 1.8 MiB | 2.7 MiB |
| Average record size in memory | 216.0 B | 216.0 B |
Variable types
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Numeric | 15 | 15 |
| Text | 5 | 5 |
| Categorical | 3 | 3 |
| DateTime | 4 | 4 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
10 km Miejsce Open is highly overall correlated with 10 km Tempo and 9 other fields | 10 km Miejsce Open is highly overall correlated with 10 km Tempo and 10 other fields | High correlation |
10 km Tempo is highly overall correlated with 10 km Miejsce Open and 9 other fields | 10 km Tempo is highly overall correlated with 10 km Miejsce Open and 10 other fields | High correlation |
15 km Miejsce Open is highly overall correlated with 10 km Miejsce Open and 9 other fields | 15 km Miejsce Open is highly overall correlated with 10 km Miejsce Open and 11 other fields | High correlation |
15 km Tempo is highly overall correlated with 10 km Miejsce Open and 10 other fields | 15 km Tempo is highly overall correlated with 10 km Miejsce Open and 12 other fields | High correlation |
20 km Miejsce Open is highly overall correlated with 10 km Miejsce Open and 10 other fields | 20 km Miejsce Open is highly overall correlated with 10 km Miejsce Open and 11 other fields | High correlation |
20 km Tempo is highly overall correlated with 10 km Miejsce Open and 11 other fields | 20 km Tempo is highly overall correlated with 10 km Miejsce Open and 12 other fields | High correlation |
5 km Miejsce Open is highly overall correlated with 10 km Miejsce Open and 9 other fields | 5 km Miejsce Open is highly overall correlated with 10 km Miejsce Open and 10 other fields | High correlation |
5 km Tempo is highly overall correlated with 10 km Miejsce Open and 9 other fields | 5 km Tempo is highly overall correlated with 10 km Miejsce Open and 10 other fields | High correlation |
Kategoria wiekowa is highly overall correlated with Płeć and 1 other fields | Kategoria wiekowa is highly overall correlated with Płeć and 1 other fields | High correlation |
Kategoria wiekowa Miejsce is highly overall correlated with 20 km Tempo and 1 other fields | Kategoria wiekowa Miejsce is highly overall correlated with 15 km Miejsce Open and 6 other fields | High correlation |
Miejsce is highly overall correlated with 10 km Miejsce Open and 10 other fields | Miejsce is highly overall correlated with 10 km Miejsce Open and 11 other fields | High correlation |
Płeć is highly overall correlated with Kategoria wiekowa and 1 other fields | Płeć is highly overall correlated with Kategoria wiekowa and 1 other fields | High correlation |
Płeć Miejsce is highly overall correlated with 10 km Miejsce Open and 11 other fields | Płeć Miejsce is highly overall correlated with 10 km Miejsce Open and 11 other fields | High correlation |
Rocznik is highly overall correlated with Kategoria wiekowa | Rocznik is highly overall correlated with Kategoria wiekowa | High correlation |
Tempo is highly overall correlated with 10 km Miejsce Open and 10 other fields | Tempo is highly overall correlated with 10 km Miejsce Open and 11 other fields | High correlation |
Tempo Stabilność is highly overall correlated with 15 km Tempo and 4 other fields | Tempo Stabilność is highly overall correlated with 15 km Tempo and 1 other fields | High correlation |
Kraj is highly imbalanced (94.2%) | Kraj is highly imbalanced (95.9%) | Imbalance |
Miejsce has 800 (8.9%) missing values | Miejsce has 2707 (20.8%) missing values | Missing |
Miasto has 1089 (12.2%) missing values | Miasto has 3094 (23.8%) missing values | Missing |
Kraj has 800 (8.9%) missing values | Kraj has 2707 (20.8%) missing values | Missing |
Drużyna has 5529 (61.8%) missing values | Drużyna has 8026 (61.7%) missing values | Missing |
Płeć Miejsce has 800 (8.9%) missing values | Płeć Miejsce has 2707 (20.8%) missing values | Missing |
Kategoria wiekowa Miejsce has 809 (9.0%) missing values | Kategoria wiekowa Miejsce has 2718 (20.9%) missing values | Missing |
Rocznik has 201 (2.2%) missing values | Rocznik has 284 (2.2%) missing values | Missing |
5 km Czas has 827 (9.2%) missing values | 5 km Czas has 2719 (20.9%) missing values | Missing |
5 km Miejsce Open has 827 (9.2%) missing values | 5 km Miejsce Open has 2719 (20.9%) missing values | Missing |
5 km Tempo has 827 (9.2%) missing values | 5 km Tempo has 2719 (20.9%) missing values | Missing |
10 km Czas has 811 (9.1%) missing values | 10 km Czas has 2719 (20.9%) missing values | Missing |
10 km Miejsce Open has 811 (9.1%) missing values | 10 km Miejsce Open has 2719 (20.9%) missing values | Missing |
10 km Tempo has 834 (9.3%) missing values | 10 km Tempo has 2728 (21.0%) missing values | Missing |
15 km Czas has 809 (9.0%) missing values | 15 km Czas has 2720 (20.9%) missing values | Missing |
15 km Miejsce Open has 809 (9.0%) missing values | 15 km Miejsce Open has 2720 (20.9%) missing values | Missing |
15 km Tempo has 814 (9.1%) missing values | 15 km Tempo has 2730 (21.0%) missing values | Missing |
20 km Czas has 806 (9.0%) missing values | 20 km Czas has 2712 (20.9%) missing values | Missing |
20 km Miejsce Open has 806 (9.0%) missing values | 20 km Miejsce Open has 2712 (20.9%) missing values | Missing |
20 km Tempo has 813 (9.1%) missing values | 20 km Tempo has 2722 (20.9%) missing values | Missing |
Tempo Stabilność has 840 (9.4%) missing values | Tempo Stabilność has 2740 (21.1%) missing values | Missing |
Tempo has 800 (8.9%) missing values | Tempo has 2707 (20.8%) missing values | Missing |
Rocznik is highly skewed (γ1 = -27.2834571) | Rocznik is highly skewed (γ1 = -24.52526325) | Skewed |
Miejsce is uniformly distributed | Miejsce is uniformly distributed | Uniform |
5 km Miejsce Open is uniformly distributed | 5 km Miejsce Open is uniformly distributed | Uniform |
10 km Miejsce Open is uniformly distributed | 10 km Miejsce Open is uniformly distributed | Uniform |
15 km Miejsce Open is uniformly distributed | 15 km Miejsce Open is uniformly distributed | Uniform |
20 km Miejsce Open is uniformly distributed | 20 km Miejsce Open is uniformly distributed | Uniform |
Numer startowy has unique values | Numer startowy has unique values | Unique |
| Alert not present in this dataset | Numer startowy is highly overall correlated with 10 km Miejsce Open and 9 other fields | High correlation |
| Alert not present in this dataset | Czas has 2055 (15.8%) missing values | Missing |
Reproduction
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Analysis started | 2025-06-20 08:58:02.769124 | 2025-06-20 08:55:06.756337 |
| Analysis finished | 2025-06-20 09:00:03.268769 | 2025-06-20 08:57:01.571159 |
| Duration | 2 minutes and 0.5 seconds | 1 minute and 54.81 seconds |
| Software version | ydata-profiling v4.16.1 | ydata-profiling v4.16.1 |
| Download configuration | config.json | config.json |
Variables
Miejsce
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 8150 | 10300 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 800 | 2707 |
| Missing (%) | 8.9% | 20.8% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 4075.5 | 5150.5803 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| Maximum | 8150 | 10302 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| 5-th percentile | 408.45 | 515.95 |
| Q1 | 2038.25 | 2575.75 |
| median | 4075.5 | 5150.5 |
| Q3 | 6112.75 | 7725.25 |
| 95-th percentile | 7742.55 | 9785.05 |
| Maximum | 8150 | 10302 |
| Range | 8149 | 10301 |
| Interquartile range (IQR) | 4074.5 | 5149.5 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 2352.8467 | 2973.6316 |
| Coefficient of variation (CV) | 0.57731485 | 0.57733914 |
| Kurtosis | -1.2 | -1.199827 |
| Mean | 4075.5 | 5150.5803 |
| Median Absolute Deviation (MAD) | 2037.5 | 2575 |
| Skewness | 0 | 0.0001426156 |
| Sum | 33215325 | 53050977 |
| Variance | 5535887.5 | 8842484.8 |
| Monotonicity | Strictly increasing | Strictly increasing |
| Value | Count | Frequency (%) |
| 5431 | 1 | < 0.1% |
| 5444 | 1 | < 0.1% |
| 5443 | 1 | < 0.1% |
| 5442 | 1 | < 0.1% |
| 5441 | 1 | < 0.1% |
| 5440 | 1 | < 0.1% |
| 5439 | 1 | < 0.1% |
| 5438 | 1 | < 0.1% |
| 5437 | 1 | < 0.1% |
| 5436 | 1 | < 0.1% |
| Other values (8140) | 8140 | |
| (Missing) | 800 | 8.9% |
| Value | Count | Frequency (%) |
| 6922 | 1 | < 0.1% |
| 6864 | 1 | < 0.1% |
| 6865 | 1 | < 0.1% |
| 6866 | 1 | < 0.1% |
| 6867 | 1 | < 0.1% |
| 6868 | 1 | < 0.1% |
| 6869 | 1 | < 0.1% |
| 6870 | 1 | < 0.1% |
| 6871 | 1 | < 0.1% |
| 6872 | 1 | < 0.1% |
| Other values (10290) | 10290 | |
| (Missing) | 2707 | 20.8% |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
Numer startowy
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 8950 | 13007 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 4758.4517 | 12139.714 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| Maximum | 10000 | 86990 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| 5-th percentile | 578.45 | 680.3 |
| Q1 | 2504.25 | 3466 |
| median | 4770.5 | 7045 |
| Q3 | 7010.75 | 10693.5 |
| 95-th percentile | 8807.55 | 76476.5 |
| Maximum | 10000 | 86990 |
| Range | 9999 | 86989 |
| Interquartile range (IQR) | 4506.5 | 7227.5 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 2645.2071 | 18040.402 |
| Coefficient of variation (CV) | 0.5558966 | 1.4860649 |
| Kurtosis | -1.1315022 | 9.0441874 |
| Mean | 4758.4517 | 12139.714 |
| Median Absolute Deviation (MAD) | 2253 | 3605 |
| Skewness | -0.0006045164 | 3.0878585 |
| Sum | 42588143 | 1.5790126 × 108 |
| Variance | 6997120.7 | 3.2545612 × 108 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 1787 | 1 | < 0.1% |
| 5942 | 1 | < 0.1% |
| 2320 | 1 | < 0.1% |
| 6465 | 1 | < 0.1% |
| 5777 | 1 | < 0.1% |
| 8848 | 1 | < 0.1% |
| 2738 | 1 | < 0.1% |
| 5859 | 1 | < 0.1% |
| 2387 | 1 | < 0.1% |
| 2253 | 1 | < 0.1% |
| Other values (8940) | 8940 |
| Value | Count | Frequency (%) |
| 596 | 1 | < 0.1% |
| 9079 | 1 | < 0.1% |
| 10968 | 1 | < 0.1% |
| 10633 | 1 | < 0.1% |
| 10231 | 1 | < 0.1% |
| 11191 | 1 | < 0.1% |
| 6670 | 1 | < 0.1% |
| 11496 | 1 | < 0.1% |
| 8662 | 1 | < 0.1% |
| 6666 | 1 | < 0.1% |
| Other values (12997) | 12997 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 7 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 22 | 1 | |
| 33 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 11 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 11 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 7 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 22 | 1 | |
| 33 | 1 |
Imię
['Text', 'Text']
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 712 | 763 |
| Distinct (%) | 8.0% | 5.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Length
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Max length | 17 | 20 |
| Median length | 16 | 17 |
| Mean length | 6.5384358 | 6.5552395 |
| Min length | 1 | 1 |
Characters and Unicode
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Total characters | 58519 | 85264 |
| Distinct characters | 41 | 43 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
Unique
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Unique | 382 | 404 ? |
| Unique (%) | 4.3% | 3.1% |
Sample
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| 1st row | TOMASZ | NIKODEM |
| 2nd row | ARKADIUSZ | MATEUSZ |
| 3rd row | KRZYSZTOF | PATRYK |
| 4th row | DAMIAN | DARIUSZ |
| 5th row | KAMIL | SZYMON |
| Value | Count | Frequency (%) |
| tomasz | 330 | 3.7% |
| marcin | 302 | 3.4% |
| piotr | 294 | 3.3% |
| michał | 270 | 3.0% |
| paweł | 254 | 2.8% |
| krzysztof | 239 | 2.7% |
| anonimowy | 239 | 2.7% |
| łukasz | 227 | 2.5% |
| maciej | 180 | 2.0% |
| mateusz | 170 | 1.9% |
| Other values (695) | 6469 |
| Value | Count | Frequency (%) |
| tomasz | 470 | 3.6% |
| anonimowy | 435 | 3.3% |
| piotr | 402 | 3.1% |
| paweł | 388 | 3.0% |
| michał | 383 | 2.9% |
| marcin | 379 | 2.9% |
| krzysztof | 335 | 2.6% |
| łukasz | 313 | 2.4% |
| mateusz | 289 | 2.2% |
| jakub | 277 | 2.1% |
| Other values (747) | 9366 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 10504 | |
| R | 4375 | 7.5% |
| I | 4040 | 6.9% |
| N | 3333 | 5.7% |
| E | 3280 | 5.6% |
| M | 3086 | 5.3% |
| O | 2988 | 5.1% |
| Z | 2974 | 5.1% |
| S | 2688 | 4.6% |
| T | 2639 | 4.5% |
| Other values (31) | 18612 |
| Value | Count | Frequency (%) |
| A | 15546 | |
| R | 6158 | 7.2% |
| I | 5831 | 6.8% |
| N | 5008 | 5.9% |
| E | 4621 | 5.4% |
| M | 4508 | 5.3% |
| O | 4458 | 5.2% |
| Z | 4309 | 5.1% |
| T | 3850 | 4.5% |
| S | 3840 | 4.5% |
| Other values (33) | 27135 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 58519 |
| Value | Count | Frequency (%) |
| (unknown) | 85264 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| A | 10504 | |
| R | 4375 | 7.5% |
| I | 4040 | 6.9% |
| N | 3333 | 5.7% |
| E | 3280 | 5.6% |
| M | 3086 | 5.3% |
| O | 2988 | 5.1% |
| Z | 2974 | 5.1% |
| S | 2688 | 4.6% |
| T | 2639 | 4.5% |
| Other values (31) | 18612 |
| Value | Count | Frequency (%) |
| A | 15546 | |
| R | 6158 | 7.2% |
| I | 5831 | 6.8% |
| N | 5008 | 5.9% |
| E | 4621 | 5.4% |
| M | 4508 | 5.3% |
| O | 4458 | 5.2% |
| Z | 4309 | 5.1% |
| T | 3850 | 4.5% |
| S | 3840 | 4.5% |
| Other values (33) | 27135 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 58519 |
| Value | Count | Frequency (%) |
| (unknown) | 85264 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| A | 10504 | |
| R | 4375 | 7.5% |
| I | 4040 | 6.9% |
| N | 3333 | 5.7% |
| E | 3280 | 5.6% |
| M | 3086 | 5.3% |
| O | 2988 | 5.1% |
| Z | 2974 | 5.1% |
| S | 2688 | 4.6% |
| T | 2639 | 4.5% |
| Other values (31) | 18612 |
| Value | Count | Frequency (%) |
| A | 15546 | |
| R | 6158 | 7.2% |
| I | 5831 | 6.8% |
| N | 5008 | 5.9% |
| E | 4621 | 5.4% |
| M | 4508 | 5.3% |
| O | 4458 | 5.2% |
| Z | 4309 | 5.1% |
| T | 3850 | 4.5% |
| S | 3840 | 4.5% |
| Other values (33) | 27135 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 58519 |
| Value | Count | Frequency (%) |
| (unknown) | 85264 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| A | 10504 | |
| R | 4375 | 7.5% |
| I | 4040 | 6.9% |
| N | 3333 | 5.7% |
| E | 3280 | 5.6% |
| M | 3086 | 5.3% |
| O | 2988 | 5.1% |
| Z | 2974 | 5.1% |
| S | 2688 | 4.6% |
| T | 2639 | 4.5% |
| Other values (31) | 18612 |
| Value | Count | Frequency (%) |
| A | 15546 | |
| R | 6158 | 7.2% |
| I | 5831 | 6.8% |
| N | 5008 | 5.9% |
| E | 4621 | 5.4% |
| M | 4508 | 5.3% |
| O | 4458 | 5.2% |
| Z | 4309 | 5.1% |
| T | 3850 | 4.5% |
| S | 3840 | 4.5% |
| Other values (33) | 27135 |
Nazwisko
['Text', 'Text']
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 6049 | 8138 |
| Distinct (%) | 67.6% | 62.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Length
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Max length | 24 | 25 |
| Median length | 21 | 22 |
| Mean length | 7.8382123 | 7.840778 |
| Min length | 2 | 2 |
Characters and Unicode
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Total characters | 70152 | 101985 |
| Distinct characters | 44 | 48 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
Unique
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Unique | 4754 | 6182 ? |
| Unique (%) | 53.1% | 47.5% |
Sample
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| 1st row | GRYCKO | DWORCZAK |
| 2nd row | GARDZIELEWSKI | KACZOR |
| 3rd row | HADAS | KOZŁOWSKI |
| 4th row | DYDUCH | BORATYŃSKI |
| 5th row | MAŃKOWSKI | DOROŻYŃSKI |
| Value | Count | Frequency (%) |
| zawodnik | 246 | 2.7% |
| nowak | 35 | 0.4% |
| wójcik | 24 | 0.3% |
| kowalski | 20 | 0.2% |
| mazur | 20 | 0.2% |
| król | 17 | 0.2% |
| kaczmarek | 17 | 0.2% |
| walczak | 16 | 0.2% |
| wieczorek | 15 | 0.2% |
| kowalczyk | 14 | 0.2% |
| Other values (6055) | 8575 |
| Value | Count | Frequency (%) |
| zawodnik | 453 | 3.5% |
| nowak | 51 | 0.4% |
| kowalczyk | 37 | 0.3% |
| wójcik | 37 | 0.3% |
| mazur | 34 | 0.3% |
| kaczmarek | 32 | 0.2% |
| kowalski | 26 | 0.2% |
| woźniak | 22 | 0.2% |
| adamczyk | 20 | 0.2% |
| wilk | 18 | 0.1% |
| Other values (8137) | 12333 |
Most occurring characters
| Value | Count | Frequency (%) |
| K | 7857 | 11.2% |
| A | 7736 | 11.0% |
| I | 6394 | 9.1% |
| S | 4876 | 7.0% |
| O | 4558 | 6.5% |
| Z | 3891 | 5.5% |
| E | 3622 | 5.2% |
| R | 3464 | 4.9% |
| W | 3435 | 4.9% |
| C | 3329 | 4.7% |
| Other values (34) | 20990 |
| Value | Count | Frequency (%) |
| K | 11388 | 11.2% |
| A | 11219 | 11.0% |
| I | 9313 | 9.1% |
| S | 7075 | 6.9% |
| O | 6634 | 6.5% |
| Z | 5768 | 5.7% |
| E | 5258 | 5.2% |
| R | 5155 | 5.1% |
| W | 5126 | 5.0% |
| C | 4704 | 4.6% |
| Other values (38) | 30345 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 70152 |
| Value | Count | Frequency (%) |
| (unknown) | 101985 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| K | 7857 | 11.2% |
| A | 7736 | 11.0% |
| I | 6394 | 9.1% |
| S | 4876 | 7.0% |
| O | 4558 | 6.5% |
| Z | 3891 | 5.5% |
| E | 3622 | 5.2% |
| R | 3464 | 4.9% |
| W | 3435 | 4.9% |
| C | 3329 | 4.7% |
| Other values (34) | 20990 |
| Value | Count | Frequency (%) |
| K | 11388 | 11.2% |
| A | 11219 | 11.0% |
| I | 9313 | 9.1% |
| S | 7075 | 6.9% |
| O | 6634 | 6.5% |
| Z | 5768 | 5.7% |
| E | 5258 | 5.2% |
| R | 5155 | 5.1% |
| W | 5126 | 5.0% |
| C | 4704 | 4.6% |
| Other values (38) | 30345 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 70152 |
| Value | Count | Frequency (%) |
| (unknown) | 101985 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| K | 7857 | 11.2% |
| A | 7736 | 11.0% |
| I | 6394 | 9.1% |
| S | 4876 | 7.0% |
| O | 4558 | 6.5% |
| Z | 3891 | 5.5% |
| E | 3622 | 5.2% |
| R | 3464 | 4.9% |
| W | 3435 | 4.9% |
| C | 3329 | 4.7% |
| Other values (34) | 20990 |
| Value | Count | Frequency (%) |
| K | 11388 | 11.2% |
| A | 11219 | 11.0% |
| I | 9313 | 9.1% |
| S | 7075 | 6.9% |
| O | 6634 | 6.5% |
| Z | 5768 | 5.7% |
| E | 5258 | 5.2% |
| R | 5155 | 5.1% |
| W | 5126 | 5.0% |
| C | 4704 | 4.6% |
| Other values (38) | 30345 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 70152 |
| Value | Count | Frequency (%) |
| (unknown) | 101985 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| K | 7857 | 11.2% |
| A | 7736 | 11.0% |
| I | 6394 | 9.1% |
| S | 4876 | 7.0% |
| O | 4558 | 6.5% |
| Z | 3891 | 5.5% |
| E | 3622 | 5.2% |
| R | 3464 | 4.9% |
| W | 3435 | 4.9% |
| C | 3329 | 4.7% |
| Other values (34) | 20990 |
| Value | Count | Frequency (%) |
| K | 11388 | 11.2% |
| A | 11219 | 11.0% |
| I | 9313 | 9.1% |
| S | 7075 | 6.9% |
| O | 6634 | 6.5% |
| Z | 5768 | 5.7% |
| E | 5258 | 5.2% |
| R | 5155 | 5.1% |
| W | 5126 | 5.0% |
| C | 4704 | 4.6% |
| Other values (38) | 30345 |
Miasto
['Text', 'Text']
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 1446 | 1658 |
| Distinct (%) | 18.4% | 16.7% |
| Missing | 1089 | 3094 |
| Missing (%) | 12.2% | 23.8% |
| Memory size | 70.1 KiB | 101.7 KiB |
Length
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Max length | 30 | 30 |
| Median length | 27 | 29 |
| Mean length | 8.0279863 | 8.0328861 |
| Min length | 3 | 1 |
Characters and Unicode
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Total characters | 63108 | 79630 |
| Distinct characters | 46 | 55 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
Unique
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Unique | 845 | 952 ? |
| Unique (%) | 10.7% | 9.6% |
Sample
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| 1st row | WROCŁAW | KOŚCIAN |
| 2nd row | POZNAŃ | RADOM |
| 3rd row | KĘPNO | RADOM |
| 4th row | MIRKÓW | WROCŁAW |
| 5th row | WROCŁAW | LUBON |
| Value | Count | Frequency (%) |
| wrocław | 2488 | |
| warszawa | 260 | 3.0% |
| wroclaw | 224 | 2.6% |
| poznań | 173 | 2.0% |
| kraków | 106 | 1.2% |
| góra | 100 | 1.2% |
| legnica | 65 | 0.8% |
| łódź | 59 | 0.7% |
| oleśnica | 56 | 0.6% |
| opole | 56 | 0.6% |
| Other values (1496) | 5042 |
| Value | Count | Frequency (%) |
| wrocław | 3526 | |
| warszawa | 292 | 2.7% |
| poznań | 179 | 1.6% |
| kraków | 163 | 1.5% |
| góra | 102 | 0.9% |
| legnica | 84 | 0.8% |
| oleśnica | 83 | 0.8% |
| opole | 78 | 0.7% |
| lubin | 71 | 0.7% |
| oława | 66 | 0.6% |
| Other values (1706) | 6231 |
Most occurring characters
| Value | Count | Frequency (%) |
| W | 8517 | |
| A | 6980 | |
| O | 6061 | 9.6% |
| R | 5130 | 8.1% |
| C | 4902 | 7.8% |
| I | 3482 | 5.5% |
| Ł | 3348 | 5.3% |
| E | 2937 | 4.7% |
| Z | 2612 | 4.1% |
| N | 2167 | 3.4% |
| Other values (36) | 16972 |
| Value | Count | Frequency (%) |
| W | 10835 | |
| A | 8754 | |
| O | 7635 | 9.6% |
| R | 6474 | 8.1% |
| C | 6463 | 8.1% |
| Ł | 4597 | 5.8% |
| I | 4335 | 5.4% |
| E | 3765 | 4.7% |
| Z | 3146 | 4.0% |
| K | 2882 | 3.6% |
| Other values (45) | 20744 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 63108 |
| Value | Count | Frequency (%) |
| (unknown) | 79630 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| W | 8517 | |
| A | 6980 | |
| O | 6061 | 9.6% |
| R | 5130 | 8.1% |
| C | 4902 | 7.8% |
| I | 3482 | 5.5% |
| Ł | 3348 | 5.3% |
| E | 2937 | 4.7% |
| Z | 2612 | 4.1% |
| N | 2167 | 3.4% |
| Other values (36) | 16972 |
| Value | Count | Frequency (%) |
| W | 10835 | |
| A | 8754 | |
| O | 7635 | 9.6% |
| R | 6474 | 8.1% |
| C | 6463 | 8.1% |
| Ł | 4597 | 5.8% |
| I | 4335 | 5.4% |
| E | 3765 | 4.7% |
| Z | 3146 | 4.0% |
| K | 2882 | 3.6% |
| Other values (45) | 20744 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 63108 |
| Value | Count | Frequency (%) |
| (unknown) | 79630 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| W | 8517 | |
| A | 6980 | |
| O | 6061 | 9.6% |
| R | 5130 | 8.1% |
| C | 4902 | 7.8% |
| I | 3482 | 5.5% |
| Ł | 3348 | 5.3% |
| E | 2937 | 4.7% |
| Z | 2612 | 4.1% |
| N | 2167 | 3.4% |
| Other values (36) | 16972 |
| Value | Count | Frequency (%) |
| W | 10835 | |
| A | 8754 | |
| O | 7635 | 9.6% |
| R | 6474 | 8.1% |
| C | 6463 | 8.1% |
| Ł | 4597 | 5.8% |
| I | 4335 | 5.4% |
| E | 3765 | 4.7% |
| Z | 3146 | 4.0% |
| K | 2882 | 3.6% |
| Other values (45) | 20744 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 63108 |
| Value | Count | Frequency (%) |
| (unknown) | 79630 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| W | 8517 | |
| A | 6980 | |
| O | 6061 | 9.6% |
| R | 5130 | 8.1% |
| C | 4902 | 7.8% |
| I | 3482 | 5.5% |
| Ł | 3348 | 5.3% |
| E | 2937 | 4.7% |
| Z | 2612 | 4.1% |
| N | 2167 | 3.4% |
| Other values (36) | 16972 |
| Value | Count | Frequency (%) |
| W | 10835 | |
| A | 8754 | |
| O | 7635 | 9.6% |
| R | 6474 | 8.1% |
| C | 6463 | 8.1% |
| Ł | 4597 | 5.8% |
| I | 4335 | 5.4% |
| E | 3765 | 4.7% |
| Z | 3146 | 4.0% |
| K | 2882 | 3.6% |
| Other values (45) | 20744 |
Kraj
Categorical
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 31 | 36 |
| Distinct (%) | 0.4% | 0.3% |
| Missing | 800 | 2707 |
| Missing (%) | 8.9% | 20.8% |
| Memory size | 70.1 KiB | 101.7 KiB |
| POL | |
|---|---|
| GER | 45 |
| UKR | 30 |
| GBR | 23 |
| BLR | 17 |
| Other values (26) | 105 |
| POL | |
|---|---|
| GER | 44 |
| GBR | 19 |
| UKR | 18 |
| ESP | 12 |
| Other values (31) | 99 |
Length
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Max length | 3 | 3 |
| Median length | 3 | 3 |
| Mean length | 3 | 3 |
| Min length | 3 | 3 |
Characters and Unicode
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Total characters | 24450 | 30900 |
| Distinct characters | 21 | 22 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
Unique
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Unique | 12 | 18 ? |
| Unique (%) | 0.1% | 0.2% |
Sample
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| 1st row | POL | POL |
| 2nd row | POL | POL |
| 3rd row | POL | POL |
| 4th row | POL | POL |
| 5th row | POL | POL |
Common Values
| Value | Count | Frequency (%) |
| POL | 7930 | |
| GER | 45 | 0.5% |
| UKR | 30 | 0.3% |
| GBR | 23 | 0.3% |
| BLR | 17 | 0.2% |
| AUT | 12 | 0.1% |
| ITA | 12 | 0.1% |
| FRA | 10 | 0.1% |
| GRE | 10 | 0.1% |
| CZE | 8 | 0.1% |
| Other values (21) | 53 | 0.6% |
| (Missing) | 800 | 8.9% |
| Value | Count | Frequency (%) |
| POL | 10108 | |
| GER | 44 | 0.3% |
| GBR | 19 | 0.1% |
| UKR | 18 | 0.1% |
| ESP | 12 | 0.1% |
| AUT | 11 | 0.1% |
| CZE | 10 | 0.1% |
| BLR | 9 | 0.1% |
| GRE | 8 | 0.1% |
| ITA | 8 | 0.1% |
| Other values (26) | 53 | 0.4% |
| (Missing) | 2707 | 20.8% |
Length
Common Values (Plot)
Analiza danych z półmaratonu Wrocław 2023
Number of variable categories passes threshold (
config.plot.cat_freq.max_unique)Analiza danych z półmaratonu Wrocław 2024
Number of variable categories passes threshold (
config.plot.cat_freq.max_unique)| Value | Count | Frequency (%) |
| pol | 7930 | |
| ger | 45 | 0.6% |
| ukr | 30 | 0.4% |
| gbr | 23 | 0.3% |
| blr | 17 | 0.2% |
| aut | 12 | 0.1% |
| ita | 12 | 0.1% |
| fra | 10 | 0.1% |
| gre | 10 | 0.1% |
| cze | 8 | 0.1% |
| Other values (21) | 53 | 0.7% |
| Value | Count | Frequency (%) |
| pol | 10108 | |
| ger | 44 | 0.4% |
| gbr | 19 | 0.2% |
| ukr | 18 | 0.2% |
| esp | 12 | 0.1% |
| aut | 11 | 0.1% |
| cze | 10 | 0.1% |
| blr | 9 | 0.1% |
| gre | 8 | 0.1% |
| ita | 8 | 0.1% |
| Other values (26) | 53 | 0.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| L | 7960 | |
| P | 7938 | |
| O | 7936 | |
| R | 143 | 0.6% |
| E | 88 | 0.4% |
| G | 81 | 0.3% |
| U | 60 | 0.2% |
| B | 47 | 0.2% |
| A | 42 | 0.2% |
| K | 32 | 0.1% |
| Other values (11) | 123 | 0.5% |
| Value | Count | Frequency (%) |
| L | 10126 | |
| P | 10123 | |
| O | 10112 | |
| R | 113 | 0.4% |
| E | 95 | 0.3% |
| G | 81 | 0.3% |
| U | 36 | 0.1% |
| B | 33 | 0.1% |
| A | 32 | 0.1% |
| S | 28 | 0.1% |
| Other values (12) | 121 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 24450 |
| Value | Count | Frequency (%) |
| (unknown) | 30900 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| L | 7960 | |
| P | 7938 | |
| O | 7936 | |
| R | 143 | 0.6% |
| E | 88 | 0.4% |
| G | 81 | 0.3% |
| U | 60 | 0.2% |
| B | 47 | 0.2% |
| A | 42 | 0.2% |
| K | 32 | 0.1% |
| Other values (11) | 123 | 0.5% |
| Value | Count | Frequency (%) |
| L | 10126 | |
| P | 10123 | |
| O | 10112 | |
| R | 113 | 0.4% |
| E | 95 | 0.3% |
| G | 81 | 0.3% |
| U | 36 | 0.1% |
| B | 33 | 0.1% |
| A | 32 | 0.1% |
| S | 28 | 0.1% |
| Other values (12) | 121 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 24450 |
| Value | Count | Frequency (%) |
| (unknown) | 30900 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| L | 7960 | |
| P | 7938 | |
| O | 7936 | |
| R | 143 | 0.6% |
| E | 88 | 0.4% |
| G | 81 | 0.3% |
| U | 60 | 0.2% |
| B | 47 | 0.2% |
| A | 42 | 0.2% |
| K | 32 | 0.1% |
| Other values (11) | 123 | 0.5% |
| Value | Count | Frequency (%) |
| L | 10126 | |
| P | 10123 | |
| O | 10112 | |
| R | 113 | 0.4% |
| E | 95 | 0.3% |
| G | 81 | 0.3% |
| U | 36 | 0.1% |
| B | 33 | 0.1% |
| A | 32 | 0.1% |
| S | 28 | 0.1% |
| Other values (12) | 121 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 24450 |
| Value | Count | Frequency (%) |
| (unknown) | 30900 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| L | 7960 | |
| P | 7938 | |
| O | 7936 | |
| R | 143 | 0.6% |
| E | 88 | 0.4% |
| G | 81 | 0.3% |
| U | 60 | 0.2% |
| B | 47 | 0.2% |
| A | 42 | 0.2% |
| K | 32 | 0.1% |
| Other values (11) | 123 | 0.5% |
| Value | Count | Frequency (%) |
| L | 10126 | |
| P | 10123 | |
| O | 10112 | |
| R | 113 | 0.4% |
| E | 95 | 0.3% |
| G | 81 | 0.3% |
| U | 36 | 0.1% |
| B | 33 | 0.1% |
| A | 32 | 0.1% |
| S | 28 | 0.1% |
| Other values (12) | 121 | 0.4% |
Drużyna
['Text', 'Text']
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 1985 | 2745 |
| Distinct (%) | 58.0% | 55.1% |
| Missing | 5529 | 8026 |
| Missing (%) | 61.8% | 61.7% |
| Memory size | 70.1 KiB | 101.7 KiB |
Length
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Max length | 84 | 76 |
| Median length | 45 | 46 |
| Mean length | 15.312189 | 14.061032 |
| Min length | 1 | 1 |
Characters and Unicode
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Total characters | 52383 | 70038 |
| Distinct characters | 107 | 102 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
Unique
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Unique | 1416 | 1968 ? |
| Unique (%) | 41.4% | 39.5% |
Sample
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| 1st row | UKS BLIZA WŁADYSŁAWOWO | RLTL OPTIMA RADOM |
| 2nd row | ARKADIUSZGARDZIELEWSKI.PL | RLTL-ZTE-RADOM |
| 3rd row | AZS POLITECHNIKA OPOLSKA | WOSIEK TEAM AZS AWF WROCŁAW |
| 4th row | PARKRUN WROCŁAW | SZYMI TEAM AZS POLITECHNIKA OPOLSKA |
| 5th row | WOSIEK TEAM KS AZS AWF WROCŁAW | SZYMON GUMKOWSKI TEAM RUN RADICAL |
| Value | Count | Frequency (%) |
| team | 495 | 6.4% |
| wrocław | 167 | 2.1% |
| running | 133 | 1.7% |
| runners | 94 | 1.2% |
| biega | 90 | 1.2% |
| run | 86 | 1.1% |
| kb | 85 | 1.1% |
| w | 57 | 0.7% |
| klub | 57 | 0.7% |
| grupa | 55 | 0.7% |
| Other values (2610) | 6468 |
| Value | Count | Frequency (%) |
| team | 795 | 7.4% |
| brak | 202 | 1.9% |
| wrocław | 197 | 1.8% |
| running | 188 | 1.8% |
| 188 | 1.8% | |
| biega | 133 | 1.2% |
| runners | 118 | 1.1% |
| run | 106 | 1.0% |
| kb | 94 | 0.9% |
| grupa | 79 | 0.7% |
| Other values (3298) | 8610 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 4800 | 9.2% |
| 4366 | 8.3% | |
| E | 3525 | 6.7% |
| I | 3314 | 6.3% |
| R | 2850 | 5.4% |
| O | 2837 | 5.4% |
| N | 2731 | 5.2% |
| T | 2190 | 4.2% |
| S | 2137 | 4.1% |
| K | 1921 | 3.7% |
| Other values (97) | 21712 |
| Value | Count | Frequency (%) |
| A | 5748 | 8.2% |
| 5729 | 8.2% | |
| E | 4346 | 6.2% |
| I | 3810 | 5.4% |
| R | 3614 | 5.2% |
| O | 3271 | 4.7% |
| N | 3203 | 4.6% |
| T | 2778 | 4.0% |
| S | 2665 | 3.8% |
| K | 2481 | 3.5% |
| Other values (92) | 32393 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 52383 |
| Value | Count | Frequency (%) |
| (unknown) | 70038 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| A | 4800 | 9.2% |
| 4366 | 8.3% | |
| E | 3525 | 6.7% |
| I | 3314 | 6.3% |
| R | 2850 | 5.4% |
| O | 2837 | 5.4% |
| N | 2731 | 5.2% |
| T | 2190 | 4.2% |
| S | 2137 | 4.1% |
| K | 1921 | 3.7% |
| Other values (97) | 21712 |
| Value | Count | Frequency (%) |
| A | 5748 | 8.2% |
| 5729 | 8.2% | |
| E | 4346 | 6.2% |
| I | 3810 | 5.4% |
| R | 3614 | 5.2% |
| O | 3271 | 4.7% |
| N | 3203 | 4.6% |
| T | 2778 | 4.0% |
| S | 2665 | 3.8% |
| K | 2481 | 3.5% |
| Other values (92) | 32393 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 52383 |
| Value | Count | Frequency (%) |
| (unknown) | 70038 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| A | 4800 | 9.2% |
| 4366 | 8.3% | |
| E | 3525 | 6.7% |
| I | 3314 | 6.3% |
| R | 2850 | 5.4% |
| O | 2837 | 5.4% |
| N | 2731 | 5.2% |
| T | 2190 | 4.2% |
| S | 2137 | 4.1% |
| K | 1921 | 3.7% |
| Other values (97) | 21712 |
| Value | Count | Frequency (%) |
| A | 5748 | 8.2% |
| 5729 | 8.2% | |
| E | 4346 | 6.2% |
| I | 3810 | 5.4% |
| R | 3614 | 5.2% |
| O | 3271 | 4.7% |
| N | 3203 | 4.6% |
| T | 2778 | 4.0% |
| S | 2665 | 3.8% |
| K | 2481 | 3.5% |
| Other values (92) | 32393 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 52383 |
| Value | Count | Frequency (%) |
| (unknown) | 70038 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| A | 4800 | 9.2% |
| 4366 | 8.3% | |
| E | 3525 | 6.7% |
| I | 3314 | 6.3% |
| R | 2850 | 5.4% |
| O | 2837 | 5.4% |
| N | 2731 | 5.2% |
| T | 2190 | 4.2% |
| S | 2137 | 4.1% |
| K | 1921 | 3.7% |
| Other values (97) | 21712 |
| Value | Count | Frequency (%) |
| A | 5748 | 8.2% |
| 5729 | 8.2% | |
| E | 4346 | 6.2% |
| I | 3810 | 5.4% |
| R | 3614 | 5.2% |
| O | 3271 | 4.7% |
| N | 3203 | 4.6% |
| T | 2778 | 4.0% |
| S | 2665 | 3.8% |
| K | 2481 | 3.5% |
| Other values (92) | 32393 |
Płeć
Categorical
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 2 | 2 |
| Distinct (%) | < 0.1% | < 0.1% |
| Missing | 2 | 9 |
| Missing (%) | < 0.1% | 0.1% |
| Memory size | 70.1 KiB | 101.7 KiB |
| M | |
|---|---|
| K |
| M | |
|---|---|
| K |
Length
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Characters and Unicode
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Total characters | 8948 | 12998 |
| Distinct characters | 2 | 2 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
Unique
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| 1st row | M | M |
| 2nd row | M | M |
| 3rd row | M | M |
| 4th row | M | M |
| 5th row | M | M |
Common Values
| Value | Count | Frequency (%) |
| M | 6335 | |
| K | 2613 | |
| (Missing) | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| M | 9004 | |
| K | 3994 | |
| (Missing) | 9 | 0.1% |
Length
Common Values (Plot)
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
| Value | Count | Frequency (%) |
| m | 6335 | |
| k | 2613 |
| Value | Count | Frequency (%) |
| m | 9004 | |
| k | 3994 |
Most occurring characters
| Value | Count | Frequency (%) |
| M | 6335 | |
| K | 2613 |
| Value | Count | Frequency (%) |
| M | 9004 | |
| K | 3994 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 8948 |
| Value | Count | Frequency (%) |
| (unknown) | 12998 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| M | 6335 | |
| K | 2613 |
| Value | Count | Frequency (%) |
| M | 9004 | |
| K | 3994 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 8948 |
| Value | Count | Frequency (%) |
| (unknown) | 12998 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| M | 6335 | |
| K | 2613 |
| Value | Count | Frequency (%) |
| M | 9004 | |
| K | 3994 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 8948 |
| Value | Count | Frequency (%) |
| (unknown) | 12998 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| M | 6335 | |
| K | 2613 |
| Value | Count | Frequency (%) |
| M | 9004 | |
| K | 3994 |
Płeć Miejsce
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 5829 | 7238 |
| Distinct (%) | 71.5% | 70.3% |
| Missing | 800 | 2707 |
| Missing (%) | 8.9% | 20.8% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 2415.4866 | 2998.8129 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| Maximum | 5829 | 7240 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| 5-th percentile | 204.45 | 258 |
| Q1 | 1019.25 | 1288 |
| median | 2038 | 2575.5 |
| Q3 | 3791.75 | 4663.25 |
| 95-th percentile | 5421.55 | 6723.05 |
| Maximum | 5829 | 7240 |
| Range | 5828 | 7239 |
| Interquartile range (IQR) | 2772.5 | 3375.25 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 1667.3047 | 2052.226 |
| Coefficient of variation (CV) | 0.69025623 | 0.68434611 |
| Kurtosis | -1.0049142 | -0.96882639 |
| Mean | 2415.4866 | 2998.8129 |
| Median Absolute Deviation (MAD) | 1264 | 1554.5 |
| Skewness | 0.44902415 | 0.45377052 |
| Sum | 19686216 | 30887773 |
| Variance | 2779904.9 | 4211631.4 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 1526 | 2 | < 0.1% |
| 1546 | 2 | < 0.1% |
| 1547 | 2 | < 0.1% |
| 1548 | 2 | < 0.1% |
| 1549 | 2 | < 0.1% |
| 1550 | 2 | < 0.1% |
| 1551 | 2 | < 0.1% |
| 1552 | 2 | < 0.1% |
| 1553 | 2 | < 0.1% |
| 1554 | 2 | < 0.1% |
| Other values (5819) | 8130 | |
| (Missing) | 800 | 8.9% |
| Value | Count | Frequency (%) |
| 2047 | 2 | < 0.1% |
| 2038 | 2 | < 0.1% |
| 2039 | 2 | < 0.1% |
| 2040 | 2 | < 0.1% |
| 2041 | 2 | < 0.1% |
| 2042 | 2 | < 0.1% |
| 2043 | 2 | < 0.1% |
| 2044 | 2 | < 0.1% |
| 2045 | 2 | < 0.1% |
| 2046 | 2 | < 0.1% |
| Other values (7228) | 10280 | |
| (Missing) | 2707 | 20.8% |
| Value | Count | Frequency (%) |
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 |
| Value | Count | Frequency (%) |
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 |
| Value | Count | Frequency (%) |
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 |
| Value | Count | Frequency (%) |
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 |
Kategoria wiekowa
Categorical
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 13 | 13 |
| Distinct (%) | 0.1% | 0.1% |
| Missing | 11 | 20 |
| Missing (%) | 0.1% | 0.2% |
| Memory size | 70.1 KiB | 101.7 KiB |
| M40 | |
|---|---|
| M30 | |
| M20 | |
| K30 | |
| K40 | |
| Other values (8) |
| M40 | |
|---|---|
| M30 | |
| M20 | |
| K30 | |
| K40 | |
| Other values (8) |
Length
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Max length | 3 | 3 |
| Median length | 3 | 3 |
| Mean length | 3 | 3 |
| Min length | 3 | 3 |
Characters and Unicode
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Total characters | 26817 | 38961 |
| Distinct characters | 10 | 10 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
Unique
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| 1st row | M30 | M20 |
| 2nd row | M30 | M20 |
| 3rd row | M20 | M20 |
| 4th row | M30 | M20 |
| 5th row | M20 | M30 |
Common Values
| Value | Count | Frequency (%) |
| M40 | 2188 | |
| M30 | 2032 | |
| M20 | 1078 | |
| K30 | 942 | |
| K40 | 904 | |
| M50 | 694 | 7.8% |
| K20 | 493 | 5.5% |
| M60 | 286 | 3.2% |
| K50 | 220 | 2.5% |
| K60 | 48 | 0.5% |
| Other values (3) | 54 | 0.6% |
| Value | Count | Frequency (%) |
| M40 | 2969 | |
| M30 | 2921 | |
| M20 | 1658 | |
| K30 | 1415 | |
| K40 | 1320 | |
| M50 | 1016 | 7.8% |
| K20 | 880 | 6.8% |
| M60 | 357 | 2.7% |
| K50 | 299 | 2.3% |
| M70 | 70 | 0.5% |
| Other values (3) | 82 | 0.6% |
Length
Common Values (Plot)
Analiza danych z półmaratonu Wrocław 2023
Number of variable categories passes threshold (
config.plot.cat_freq.max_unique)Analiza danych z półmaratonu Wrocław 2024
Number of variable categories passes threshold (
config.plot.cat_freq.max_unique)| Value | Count | Frequency (%) |
| m40 | 2188 | |
| m30 | 2032 | |
| m20 | 1078 | |
| k30 | 942 | |
| k40 | 904 | |
| m50 | 694 | 7.8% |
| k20 | 493 | 5.5% |
| m60 | 286 | 3.2% |
| k50 | 220 | 2.5% |
| k60 | 48 | 0.5% |
| Other values (3) | 54 | 0.6% |
| Value | Count | Frequency (%) |
| m40 | 2969 | |
| m30 | 2921 | |
| m20 | 1658 | |
| k30 | 1415 | |
| k40 | 1320 | |
| m50 | 1016 | 7.8% |
| k20 | 880 | 6.8% |
| m60 | 357 | 2.7% |
| k50 | 299 | 2.3% |
| m70 | 70 | 0.5% |
| Other values (3) | 82 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 8939 | |
| M | 6326 | |
| 4 | 3092 | 11.5% |
| 3 | 2974 | 11.1% |
| K | 2613 | 9.7% |
| 2 | 1571 | 5.9% |
| 5 | 914 | 3.4% |
| 6 | 334 | 1.2% |
| 7 | 52 | 0.2% |
| 8 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 12987 | |
| M | 8994 | |
| 3 | 4336 | 11.1% |
| 4 | 4289 | 11.0% |
| K | 3993 | 10.2% |
| 2 | 2538 | 6.5% |
| 5 | 1315 | 3.4% |
| 6 | 423 | 1.1% |
| 7 | 83 | 0.2% |
| 8 | 3 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 26817 |
| Value | Count | Frequency (%) |
| (unknown) | 38961 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 8939 | |
| M | 6326 | |
| 4 | 3092 | 11.5% |
| 3 | 2974 | 11.1% |
| K | 2613 | 9.7% |
| 2 | 1571 | 5.9% |
| 5 | 914 | 3.4% |
| 6 | 334 | 1.2% |
| 7 | 52 | 0.2% |
| 8 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 12987 | |
| M | 8994 | |
| 3 | 4336 | 11.1% |
| 4 | 4289 | 11.0% |
| K | 3993 | 10.2% |
| 2 | 2538 | 6.5% |
| 5 | 1315 | 3.4% |
| 6 | 423 | 1.1% |
| 7 | 83 | 0.2% |
| 8 | 3 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 26817 |
| Value | Count | Frequency (%) |
| (unknown) | 38961 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 8939 | |
| M | 6326 | |
| 4 | 3092 | 11.5% |
| 3 | 2974 | 11.1% |
| K | 2613 | 9.7% |
| 2 | 1571 | 5.9% |
| 5 | 914 | 3.4% |
| 6 | 334 | 1.2% |
| 7 | 52 | 0.2% |
| 8 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 12987 | |
| M | 8994 | |
| 3 | 4336 | 11.1% |
| 4 | 4289 | 11.0% |
| K | 3993 | 10.2% |
| 2 | 2538 | 6.5% |
| 5 | 1315 | 3.4% |
| 6 | 423 | 1.1% |
| 7 | 83 | 0.2% |
| 8 | 3 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 26817 |
| Value | Count | Frequency (%) |
| (unknown) | 38961 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 8939 | |
| M | 6326 | |
| 4 | 3092 | 11.5% |
| 3 | 2974 | 11.1% |
| K | 2613 | 9.7% |
| 2 | 1571 | 5.9% |
| 5 | 914 | 3.4% |
| 6 | 334 | 1.2% |
| 7 | 52 | 0.2% |
| 8 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 12987 | |
| M | 8994 | |
| 3 | 4336 | 11.1% |
| 4 | 4289 | 11.0% |
| K | 3993 | 10.2% |
| 2 | 2538 | 6.5% |
| 5 | 1315 | 3.4% |
| 6 | 423 | 1.1% |
| 7 | 83 | 0.2% |
| 8 | 3 | < 0.1% |
Kategoria wiekowa Miejsce
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 1987 | 2387 |
| Distinct (%) | 24.4% | 23.2% |
| Missing | 809 | 2718 |
| Missing (%) | 9.0% | 20.9% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 649.99263 | 801.82603 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| Maximum | 1987 | 2388 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| 5-th percentile | 37 | 47 |
| Q1 | 220 | 284 |
| median | 517 | 651 |
| Q3 | 949 | 1176 |
| 95-th percentile | 1729 | 2100.6 |
| Maximum | 1987 | 2388 |
| Range | 1986 | 2387 |
| Interquartile range (IQR) | 729 | 892 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 524.04052 | 629.60511 |
| Coefficient of variation (CV) | 0.80622533 | 0.7852141 |
| Kurtosis | -0.34026972 | -0.34736077 |
| Mean | 649.99263 | 801.82603 |
| Median Absolute Deviation (MAD) | 332 | 412 |
| Skewness | 0.82893157 | 0.79595083 |
| Sum | 5291590 | 8249988 |
| Variance | 274618.47 | 396402.59 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 1 | 13 | 0.1% |
| 2 | 13 | 0.1% |
| 4 | 12 | 0.1% |
| 3 | 12 | 0.1% |
| 5 | 12 | 0.1% |
| 21 | 11 | 0.1% |
| 34 | 11 | 0.1% |
| 33 | 11 | 0.1% |
| 32 | 11 | 0.1% |
| 30 | 11 | 0.1% |
| Other values (1977) | 8024 | |
| (Missing) | 809 | 9.0% |
| Value | Count | Frequency (%) |
| 1 | 13 | 0.1% |
| 3 | 12 | 0.1% |
| 4 | 12 | 0.1% |
| 5 | 12 | 0.1% |
| 6 | 12 | 0.1% |
| 2 | 12 | 0.1% |
| 34 | 11 | 0.1% |
| 27 | 11 | 0.1% |
| 28 | 11 | 0.1% |
| 29 | 11 | 0.1% |
| Other values (2377) | 10172 | |
| (Missing) | 2718 | 20.9% |
| Value | Count | Frequency (%) |
| 1 | 13 | |
| 2 | 13 | |
| 3 | 12 | |
| 4 | 12 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 11 |
| Value | Count | Frequency (%) |
| 1 | 13 | |
| 2 | 12 | |
| 3 | 12 | |
| 4 | 12 | |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 11 |
| Value | Count | Frequency (%) |
| 1 | 13 | |
| 2 | 12 | |
| 3 | 12 | |
| 4 | 12 | |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 11 |
| Value | Count | Frequency (%) |
| 1 | 13 | |
| 2 | 13 | |
| 3 | 12 | |
| 4 | 12 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 11 |
Rocznik
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 65 | 66 |
| Distinct (%) | 0.7% | 0.5% |
| Missing | 201 | 284 |
| Missing (%) | 2.2% | 2.2% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 1980.9384 | 1981.8017 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 2006 | 2006 |
| Zeros | 11 | 20 |
| Zeros (%) | 0.1% | 0.2% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 1965 | 1967 |
| Q1 | 1977 | 1978 |
| median | 1984 | 1985 |
| Q3 | 1991 | 1993 |
| 95-th percentile | 1999 | 2001 |
| Maximum | 2006 | 2006 |
| Range | 2006 | 2006 |
| Interquartile range (IQR) | 14 | 15 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 71.027734 | 79.316604 |
| Coefficient of variation (CV) | 0.035855599 | 0.040022472 |
| Kurtosis | 758.29683 | 610.00489 |
| Mean | 1980.9384 | 1981.8017 |
| Median Absolute Deviation (MAD) | 7 | 7 |
| Skewness | -27.283457 | -24.525263 |
| Sum | 17331230 | 25214463 |
| Variance | 5044.9389 | 6291.1236 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 1981 | 374 | 4.2% |
| 1982 | 365 | 4.1% |
| 1983 | 358 | 4.0% |
| 1978 | 330 | 3.7% |
| 1985 | 327 | 3.7% |
| 1979 | 325 | 3.6% |
| 1984 | 323 | 3.6% |
| 1980 | 317 | 3.5% |
| 1990 | 314 | 3.5% |
| 1986 | 303 | 3.4% |
| Other values (55) | 5413 |
| Value | Count | Frequency (%) |
| 1981 | 498 | 3.8% |
| 1983 | 493 | 3.8% |
| 1986 | 477 | 3.7% |
| 1990 | 470 | 3.6% |
| 1982 | 469 | 3.6% |
| 1984 | 457 | 3.5% |
| 1980 | 449 | 3.5% |
| 1979 | 438 | 3.4% |
| 1988 | 437 | 3.4% |
| 1985 | 430 | 3.3% |
| Other values (56) | 8105 |
| Value | Count | Frequency (%) |
| 0 | 11 | |
| 1934 | 1 | < 0.1% |
| 1943 | 1 | < 0.1% |
| 1944 | 1 | < 0.1% |
| 1946 | 4 | < 0.1% |
| 1947 | 2 | < 0.1% |
| 1948 | 2 | < 0.1% |
| 1949 | 11 | |
| 1950 | 5 | |
| 1951 | 7 |
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 1934 | 1 | < 0.1% |
| 1943 | 1 | < 0.1% |
| 1944 | 1 | < 0.1% |
| 1945 | 1 | < 0.1% |
| 1946 | 2 | < 0.1% |
| 1947 | 1 | < 0.1% |
| 1948 | 6 | < 0.1% |
| 1949 | 11 | |
| 1950 | 9 |
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 1934 | 1 | < 0.1% |
| 1943 | 1 | < 0.1% |
| 1944 | 1 | < 0.1% |
| 1945 | 1 | < 0.1% |
| 1946 | 2 | < 0.1% |
| 1947 | 1 | < 0.1% |
| 1948 | 6 | 0.1% |
| 1949 | 11 | |
| 1950 | 9 |
| Value | Count | Frequency (%) |
| 0 | 11 | |
| 1934 | 1 | < 0.1% |
| 1943 | 1 | < 0.1% |
| 1944 | 1 | < 0.1% |
| 1946 | 4 | < 0.1% |
| 1947 | 2 | < 0.1% |
| 1948 | 2 | < 0.1% |
| 1949 | 11 | |
| 1950 | 5 | |
| 1951 | 7 |
5 km Czas
Date
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 1150 | 1240 |
| Distinct (%) | 14.2% | 12.1% |
| Missing | 827 | 2719 |
| Missing (%) | 9.2% | 20.9% |
| Memory size | 70.1 KiB | 101.7 KiB |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 2025-06-20 00:14:37 | 2025-06-20 00:00:00 |
| Maximum | 2025-06-20 01:03:45 | 2025-06-20 00:50:14 |
| Invalid dates | 0 | 0 |
| Invalid dates (%) | 0.0% | 0.0% |
5 km Miejsce Open
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 8123 | 10288 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 827 | 2719 |
| Missing (%) | 9.2% | 20.9% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 4070.6776 | 5169.4679 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| Maximum | 8147 | 10353 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| 5-th percentile | 409.1 | 521.35 |
| Q1 | 2035.5 | 2588.75 |
| median | 4071 | 5166.5 |
| Q3 | 6104.5 | 7750.25 |
| 95-th percentile | 7733.9 | 9821.65 |
| Maximum | 8147 | 10353 |
| Range | 8146 | 10352 |
| Interquartile range (IQR) | 4069 | 5161.5 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 2350.1321 | 2983.0608 |
| Coefficient of variation (CV) | 0.57733192 | 0.57705374 |
| Kurtosis | -1.1997943 | -1.1983852 |
| Mean | 4070.6776 | 5169.4679 |
| Median Absolute Deviation (MAD) | 2035 | 2581 |
| Skewness | 0.00059354696 | 0.0014309075 |
| Sum | 33066114 | 53183486 |
| Variance | 5523120.9 | 8898651.8 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 1 | 1 | < 0.1% |
| 3769 | 1 | < 0.1% |
| 6131 | 1 | < 0.1% |
| 4649 | 1 | < 0.1% |
| 4152 | 1 | < 0.1% |
| 5169 | 1 | < 0.1% |
| 5171 | 1 | < 0.1% |
| 5313 | 1 | < 0.1% |
| 5024 | 1 | < 0.1% |
| 5578 | 1 | < 0.1% |
| Other values (8113) | 8113 | |
| (Missing) | 827 | 9.2% |
| Value | Count | Frequency (%) |
| 3 | 1 | < 0.1% |
| 6513 | 1 | < 0.1% |
| 4239 | 1 | < 0.1% |
| 8175 | 1 | < 0.1% |
| 7799 | 1 | < 0.1% |
| 6249 | 1 | < 0.1% |
| 5267 | 1 | < 0.1% |
| 4166 | 1 | < 0.1% |
| 5605 | 1 | < 0.1% |
| 7418 | 1 | < 0.1% |
| Other values (10278) | 10278 | |
| (Missing) | 2719 | 20.9% |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
5 km Tempo
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 1150 | 1240 |
| Distinct (%) | 14.2% | 12.1% |
| Missing | 827 | 2719 |
| Missing (%) | 9.2% | 20.9% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 5.4924113 | 5.6605029 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 2.9233333 | 0 |
| Maximum | 12.75 | 10.046667 |
| Zeros | 0 | 1 |
| Zeros (%) | 0.0% | < 0.1% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 2.9233333 | 0 |
| 5-th percentile | 4.217 | 4.34 |
| Q1 | 4.9366667 | 5.0891667 |
| median | 5.4466667 | 5.63 |
| Q3 | 6.0166667 | 6.19 |
| 95-th percentile | 6.86 | 7.0766667 |
| Maximum | 12.75 | 10.046667 |
| Range | 9.8266667 | 10.046667 |
| Interquartile range (IQR) | 1.08 | 1.1008333 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 0.80753453 | 0.83190666 |
| Coefficient of variation (CV) | 0.14702732 | 0.14696692 |
| Kurtosis | 1.4468787 | 0.30632784 |
| Mean | 5.4924113 | 5.6605029 |
| Median Absolute Deviation (MAD) | 0.53666667 | 0.55 |
| Skewness | 0.41079517 | 0.23036709 |
| Sum | 44614.857 | 58235.253 |
| Variance | 0.65211201 | 0.6920687 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 5.48 | 30 | 0.3% |
| 5.213333333 | 28 | 0.3% |
| 5.346666667 | 26 | 0.3% |
| 5.363333333 | 26 | 0.3% |
| 5.096666667 | 23 | 0.3% |
| 5.453333333 | 22 | 0.2% |
| 5.456666667 | 22 | 0.2% |
| 5.546666667 | 22 | 0.2% |
| 5.463333333 | 22 | 0.2% |
| 5.466666667 | 22 | 0.2% |
| Other values (1140) | 7880 | |
| (Missing) | 827 | 9.2% |
| Value | Count | Frequency (%) |
| 5.633333333 | 30 | 0.2% |
| 5.643333333 | 30 | 0.2% |
| 5.673333333 | 29 | 0.2% |
| 5.67 | 28 | 0.2% |
| 5.63 | 27 | 0.2% |
| 5.57 | 27 | 0.2% |
| 5.653333333 | 27 | 0.2% |
| 5.626666667 | 27 | 0.2% |
| 5.666666667 | 26 | 0.2% |
| 5.316666667 | 26 | 0.2% |
| Other values (1230) | 10011 | |
| (Missing) | 2719 | 20.9% |
| Value | Count | Frequency (%) |
| 2.923333333 | 1 | |
| 2.96 | 1 | |
| 3.123333333 | 1 | |
| 3.153333333 | 1 | |
| 3.23 | 1 | |
| 3.236666667 | 1 | |
| 3.24 | 1 | |
| 3.3 | 1 | |
| 3.313333333 | 2 | |
| 3.376666667 | 2 |
| Value | Count | Frequency (%) |
| 0 | 1 | < 0.1% |
| 3.02 | 3 | |
| 3.023333333 | 1 | < 0.1% |
| 3.076666667 | 1 | < 0.1% |
| 3.156666667 | 1 | < 0.1% |
| 3.253333333 | 1 | < 0.1% |
| 3.316666667 | 1 | < 0.1% |
| 3.32 | 1 | < 0.1% |
| 3.323333333 | 2 | |
| 3.326666667 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 1 | < 0.1% |
| 3.02 | 3 | |
| 3.023333333 | 1 | < 0.1% |
| 3.076666667 | 1 | < 0.1% |
| 3.156666667 | 1 | < 0.1% |
| 3.253333333 | 1 | < 0.1% |
| 3.316666667 | 1 | < 0.1% |
| 3.32 | 1 | < 0.1% |
| 3.323333333 | 2 | |
| 3.326666667 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2.923333333 | 1 | |
| 2.96 | 1 | |
| 3.123333333 | 1 | |
| 3.153333333 | 1 | |
| 3.23 | 1 | |
| 3.236666667 | 1 | |
| 3.24 | 1 | |
| 3.3 | 1 | |
| 3.313333333 | 2 | |
| 3.376666667 | 2 |
10 km Czas
Date
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 2109 | 2238 |
| Distinct (%) | 25.9% | 21.8% |
| Missing | 811 | 2719 |
| Missing (%) | 9.1% | 20.9% |
| Memory size | 70.1 KiB | 101.7 KiB |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 2025-06-20 00:29:15 | 2025-06-20 00:29:42 |
| Maximum | 2025-06-20 01:36:59 | 2025-06-20 01:43:28 |
| Invalid dates | 0 | 0 |
| Invalid dates (%) | 0.0% | 0.0% |
10 km Miejsce Open
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 8139 | 10288 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 811 | 2719 |
| Missing (%) | 9.1% | 20.9% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 4076.5706 | 5160.6388 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| Maximum | 8156 | 10330 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| 5-th percentile | 409.9 | 520.35 |
| Q1 | 2038.5 | 2581.75 |
| median | 4076 | 5158.5 |
| Q3 | 6113.5 | 7739.25 |
| 95-th percentile | 7744.1 | 9803.65 |
| Maximum | 8156 | 10330 |
| Range | 8155 | 10329 |
| Interquartile range (IQR) | 4075 | 5157.5 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 2353.2928 | 2978.7938 |
| Coefficient of variation (CV) | 0.57727267 | 0.57721417 |
| Kurtosis | -1.2002086 | -1.1997935 |
| Mean | 4076.5706 | 5160.6388 |
| Median Absolute Deviation (MAD) | 2038 | 2579 |
| Skewness | 0.00045751597 | 0.00085810257 |
| Sum | 33179208 | 53092652 |
| Variance | 5537986.9 | 8873212.7 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 5656 | 1 | < 0.1% |
| 5035 | 1 | < 0.1% |
| 5696 | 1 | < 0.1% |
| 4811 | 1 | < 0.1% |
| 6114 | 1 | < 0.1% |
| 5355 | 1 | < 0.1% |
| 5543 | 1 | < 0.1% |
| 5076 | 1 | < 0.1% |
| 3616 | 1 | < 0.1% |
| 5544 | 1 | < 0.1% |
| Other values (8129) | 8129 | |
| (Missing) | 811 | 9.1% |
| Value | Count | Frequency (%) |
| 3 | 1 | < 0.1% |
| 7673 | 1 | < 0.1% |
| 6039 | 1 | < 0.1% |
| 8301 | 1 | < 0.1% |
| 7424 | 1 | < 0.1% |
| 6524 | 1 | < 0.1% |
| 5862 | 1 | < 0.1% |
| 4523 | 1 | < 0.1% |
| 6082 | 1 | < 0.1% |
| 7012 | 1 | < 0.1% |
| Other values (10278) | 10278 | |
| (Missing) | 2719 | 20.9% |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
10 km Tempo
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 1288 | 1328 |
| Distinct (%) | 15.9% | 12.9% |
| Missing | 834 | 2728 |
| Missing (%) | 9.3% | 21.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 5.536863 | 5.5998638 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 2.9266667 | 2.92 |
| Maximum | 9.7533333 | 11.346667 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 2.9266667 | 2.92 |
| 5-th percentile | 4.1766667 | 4.2466667 |
| Q1 | 4.9066667 | 4.9733333 |
| median | 5.4566667 | 5.5066667 |
| Q3 | 6.0708333 | 6.1333333 |
| 95-th percentile | 7.13 | 7.18 |
| Maximum | 9.7533333 | 11.346667 |
| Range | 6.8266667 | 8.4266667 |
| Interquartile range (IQR) | 1.1641667 | 1.16 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 0.89371636 | 0.90211865 |
| Coefficient of variation (CV) | 0.16141204 | 0.16109653 |
| Kurtosis | 0.33239033 | 0.77195002 |
| Mean | 5.536863 | 5.5998638 |
| Median Absolute Deviation (MAD) | 0.575 | 0.58 |
| Skewness | 0.48701931 | 0.57319851 |
| Sum | 44937.18 | 57561 |
| Variance | 0.79872893 | 0.81381806 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 5.3 | 24 | 0.3% |
| 5.483333333 | 23 | 0.3% |
| 5.53 | 23 | 0.3% |
| 5.373333333 | 22 | 0.2% |
| 5.28 | 22 | 0.2% |
| 5.64 | 22 | 0.2% |
| 5.506666667 | 22 | 0.2% |
| 5.356666667 | 21 | 0.2% |
| 5.293333333 | 21 | 0.2% |
| 5.47 | 21 | 0.2% |
| Other values (1278) | 7895 | |
| (Missing) | 834 | 9.3% |
| Value | Count | Frequency (%) |
| 5.366666667 | 34 | 0.3% |
| 5.36 | 29 | 0.2% |
| 5.776666667 | 29 | 0.2% |
| 5.316666667 | 28 | 0.2% |
| 5.42 | 27 | 0.2% |
| 5.476666667 | 26 | 0.2% |
| 5.43 | 25 | 0.2% |
| 5.426666667 | 24 | 0.2% |
| 5.296666667 | 24 | 0.2% |
| 5.423333333 | 24 | 0.2% |
| Other values (1318) | 10009 | |
| (Missing) | 2728 | 21.0% |
| Value | Count | Frequency (%) |
| 2.926666667 | 1 | |
| 2.983333333 | 1 | |
| 3.123333333 | 1 | |
| 3.16 | 1 | |
| 3.196666667 | 1 | |
| 3.27 | 1 | |
| 3.276666667 | 1 | |
| 3.283333333 | 1 | |
| 3.333333333 | 1 | |
| 3.406666667 | 2 |
| Value | Count | Frequency (%) |
| 2.92 | 3 | |
| 3.11 | 1 | < 0.1% |
| 3.153333333 | 1 | < 0.1% |
| 3.233333333 | 2 | |
| 3.25 | 1 | < 0.1% |
| 3.266666667 | 2 | |
| 3.27 | 1 | < 0.1% |
| 3.296666667 | 2 | |
| 3.323333333 | 1 | < 0.1% |
| 3.393333333 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2.92 | 3 | |
| 3.11 | 1 | < 0.1% |
| 3.153333333 | 1 | < 0.1% |
| 3.233333333 | 2 | |
| 3.25 | 1 | < 0.1% |
| 3.266666667 | 2 | |
| 3.27 | 1 | < 0.1% |
| 3.296666667 | 2 | |
| 3.323333333 | 1 | < 0.1% |
| 3.393333333 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2.926666667 | 1 | |
| 2.983333333 | 1 | |
| 3.123333333 | 1 | |
| 3.16 | 1 | |
| 3.196666667 | 1 | |
| 3.27 | 1 | |
| 3.276666667 | 1 | |
| 3.283333333 | 1 | |
| 3.333333333 | 1 | |
| 3.406666667 | 2 |
15 km Czas
Date
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 2943 | 3184 |
| Distinct (%) | 36.2% | 31.0% |
| Missing | 809 | 2720 |
| Missing (%) | 9.0% | 20.9% |
| Memory size | 70.1 KiB | 101.7 KiB |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 2025-06-20 00:44:47 | 2025-06-20 00:45:07 |
| Maximum | 2025-06-20 02:22:41 | 2025-06-20 02:34:09 |
| Invalid dates | 0 | 0 |
| Invalid dates (%) | 0.0% | 0.0% |
15 km Miejsce Open
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 8141 | 10287 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 809 | 2720 |
| Missing (%) | 9.0% | 20.9% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 4075.6172 | 5153.5215 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| Maximum | 8153 | 10305 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| 5-th percentile | 410 | 519.3 |
| Q1 | 2038 | 2579.5 |
| median | 4075 | 5154 |
| Q3 | 6112 | 7727.5 |
| 95-th percentile | 7743 | 9787.7 |
| Maximum | 8153 | 10305 |
| Range | 8152 | 10304 |
| Interquartile range (IQR) | 4074 | 5148 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 2352.3754 | 2973.5187 |
| Coefficient of variation (CV) | 0.57718261 | 0.57698772 |
| Kurtosis | -1.1996469 | -1.1998684 |
| Mean | 4075.6172 | 5153.5215 |
| Median Absolute Deviation (MAD) | 2037 | 2574 |
| Skewness | 0.00041963528 | -0.0002362966 |
| Sum | 33179600 | 53014276 |
| Variance | 5533670.1 | 8841813.2 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 1 | 1 | < 0.1% |
| 5422 | 1 | < 0.1% |
| 5631 | 1 | < 0.1% |
| 5611 | 1 | < 0.1% |
| 5411 | 1 | < 0.1% |
| 5284 | 1 | < 0.1% |
| 3863 | 1 | < 0.1% |
| 5416 | 1 | < 0.1% |
| 5826 | 1 | < 0.1% |
| 4695 | 1 | < 0.1% |
| Other values (8131) | 8131 | |
| (Missing) | 809 | 9.0% |
| Value | Count | Frequency (%) |
| 2 | 1 | < 0.1% |
| 6758 | 1 | < 0.1% |
| 6498 | 1 | < 0.1% |
| 7823 | 1 | < 0.1% |
| 7258 | 1 | < 0.1% |
| 6632 | 1 | < 0.1% |
| 6341 | 1 | < 0.1% |
| 6046 | 1 | < 0.1% |
| 6138 | 1 | < 0.1% |
| 6885 | 1 | < 0.1% |
| Other values (10277) | 10277 | |
| (Missing) | 2720 | 20.9% |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
15 km Tempo
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 1402 | 1479 |
| Distinct (%) | 17.2% | 14.4% |
| Missing | 814 | 2730 |
| Missing (%) | 9.1% | 21.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 5.8346624 | 5.9531352 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 3.1066667 | 3.0833333 |
| Maximum | 10.35 | 11.213333 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 3.1066667 | 3.0833333 |
| 5-th percentile | 4.3533333 | 4.4733333 |
| Q1 | 5.1425 | 5.2333333 |
| median | 5.71 | 5.82 |
| Q3 | 6.4108333 | 6.5633333 |
| 95-th percentile | 7.6708333 | 7.834 |
| Maximum | 10.35 | 11.213333 |
| Range | 7.2433333 | 8.13 |
| Interquartile range (IQR) | 1.2683333 | 1.33 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 0.99900066 | 1.0202978 |
| Coefficient of variation (CV) | 0.17121824 | 0.17138831 |
| Kurtosis | 0.54808445 | 0.4243088 |
| Mean | 5.8346624 | 5.9531352 |
| Median Absolute Deviation (MAD) | 0.62333333 | 0.65 |
| Skewness | 0.63999029 | 0.59317394 |
| Sum | 47470.813 | 61180.37 |
| Variance | 0.99800231 | 1.0410075 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 5.606666667 | 22 | 0.2% |
| 5.29 | 22 | 0.2% |
| 5.18 | 22 | 0.2% |
| 5.586666667 | 21 | 0.2% |
| 5.76 | 20 | 0.2% |
| 5.426666667 | 20 | 0.2% |
| 5.476666667 | 20 | 0.2% |
| 5.836666667 | 20 | 0.2% |
| 5.286666667 | 20 | 0.2% |
| 5.316666667 | 19 | 0.2% |
| Other values (1392) | 7930 | |
| (Missing) | 814 | 9.1% |
| Value | Count | Frequency (%) |
| 5.726666667 | 26 | 0.2% |
| 5.766666667 | 26 | 0.2% |
| 5.486666667 | 25 | 0.2% |
| 5.656666667 | 25 | 0.2% |
| 5.593333333 | 25 | 0.2% |
| 5.543333333 | 25 | 0.2% |
| 5.71 | 24 | 0.2% |
| 5.733333333 | 24 | 0.2% |
| 5.466666667 | 23 | 0.2% |
| 5.663333333 | 23 | 0.2% |
| Other values (1469) | 10031 | |
| (Missing) | 2730 | 21.0% |
| Value | Count | Frequency (%) |
| 3.106666667 | 1 | |
| 3.143333333 | 1 | |
| 3.236666667 | 1 | |
| 3.33 | 1 | |
| 3.376666667 | 1 | |
| 3.386666667 | 1 | |
| 3.403333333 | 1 | |
| 3.406666667 | 1 | |
| 3.546666667 | 1 | |
| 3.56 | 2 |
| Value | Count | Frequency (%) |
| 3.083333333 | 3 | |
| 3.293333333 | 1 | < 0.1% |
| 3.303333333 | 1 | < 0.1% |
| 3.336666667 | 1 | < 0.1% |
| 3.363333333 | 1 | < 0.1% |
| 3.39 | 2 | |
| 3.406666667 | 1 | < 0.1% |
| 3.413333333 | 1 | < 0.1% |
| 3.453333333 | 1 | < 0.1% |
| 3.486666667 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 3.083333333 | 3 | |
| 3.293333333 | 1 | < 0.1% |
| 3.303333333 | 1 | < 0.1% |
| 3.336666667 | 1 | < 0.1% |
| 3.363333333 | 1 | < 0.1% |
| 3.39 | 2 | |
| 3.406666667 | 1 | < 0.1% |
| 3.413333333 | 1 | < 0.1% |
| 3.453333333 | 1 | < 0.1% |
| 3.486666667 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 3.106666667 | 1 | |
| 3.143333333 | 1 | |
| 3.236666667 | 1 | |
| 3.33 | 1 | |
| 3.376666667 | 1 | |
| 3.386666667 | 1 | |
| 3.403333333 | 1 | |
| 3.406666667 | 1 | |
| 3.546666667 | 1 | |
| 3.56 | 2 |
20 km Czas
Date
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 3703 | 4035 |
| Distinct (%) | 45.5% | 39.2% |
| Missing | 806 | 2712 |
| Missing (%) | 9.0% | 20.9% |
| Memory size | 70.1 KiB | 101.7 KiB |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 2025-06-20 01:01:43 | 2025-06-20 01:00:33 |
| Maximum | 2025-06-20 03:17:05 | 2025-06-20 03:21:22 |
| Invalid dates | 0 | 0 |
| Invalid dates (%) | 0.0% | 0.0% |
20 km Miejsce Open
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 8144 | 10295 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 806 | 2712 |
| Missing (%) | 9.0% | 20.9% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 4074.7972 | 5152.5569 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| Maximum | 8148 | 10306 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 1 | 1 |
| 5-th percentile | 409.15 | 515.7 |
| Q1 | 2038.75 | 2577.5 |
| median | 4074.5 | 5153 |
| Q3 | 6111.25 | 7727.5 |
| 95-th percentile | 7739.85 | 9789.3 |
| Maximum | 8148 | 10306 |
| Range | 8147 | 10305 |
| Interquartile range (IQR) | 4072.5 | 5150 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 2351.8252 | 2974.7583 |
| Coefficient of variation (CV) | 0.57716374 | 0.57733634 |
| Kurtosis | -1.1998987 | -1.1996019 |
| Mean | 4074.7972 | 5152.5569 |
| Median Absolute Deviation (MAD) | 2036.5 | 2575 |
| Skewness | -0.00014326581 | -0.0001563583 |
| Sum | 33185148 | 53045573 |
| Variance | 5531081.6 | 8849187 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 1 | 1 | < 0.1% |
| 5381 | 1 | < 0.1% |
| 5451 | 1 | < 0.1% |
| 5515 | 1 | < 0.1% |
| 5473 | 1 | < 0.1% |
| 5404 | 1 | < 0.1% |
| 5375 | 1 | < 0.1% |
| 5270 | 1 | < 0.1% |
| 5403 | 1 | < 0.1% |
| 5492 | 1 | < 0.1% |
| Other values (8134) | 8134 | |
| (Missing) | 806 | 9.0% |
| Value | Count | Frequency (%) |
| 1 | 1 | < 0.1% |
| 6908 | 1 | < 0.1% |
| 6885 | 1 | < 0.1% |
| 6820 | 1 | < 0.1% |
| 7048 | 1 | < 0.1% |
| 7021 | 1 | < 0.1% |
| 6800 | 1 | < 0.1% |
| 6761 | 1 | < 0.1% |
| 6687 | 1 | < 0.1% |
| 6653 | 1 | < 0.1% |
| Other values (10285) | 10285 | |
| (Missing) | 2712 | 20.9% |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
20 km Tempo
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 1685 | 1638 |
| Distinct (%) | 20.7% | 15.9% |
| Missing | 813 | 2722 |
| Missing (%) | 9.1% | 20.9% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 6.4817312 | 6.2327924 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 3.3866667 | 3.0866667 |
| Maximum | 14.94 | 11.883333 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 3.3866667 | 3.0866667 |
| 5-th percentile | 4.7233333 | 4.5973333 |
| Q1 | 5.5966667 | 5.4066667 |
| median | 6.26 | 6.04 |
| Q3 | 7.1733333 | 6.9066667 |
| 95-th percentile | 8.9366667 | 8.44 |
| Maximum | 14.94 | 11.883333 |
| Range | 11.553333 | 8.7966667 |
| Interquartile range (IQR) | 1.5766667 | 1.5 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 1.2758437 | 1.1678774 |
| Coefficient of variation (CV) | 0.19683688 | 0.18737628 |
| Kurtosis | 1.0440083 | 0.47396509 |
| Mean | 6.4817312 | 6.2327924 |
| Median Absolute Deviation (MAD) | 0.76 | 0.72666667 |
| Skewness | 0.86502339 | 0.71101407 |
| Sum | 52741.847 | 64104.27 |
| Variance | 1.6277772 | 1.3639377 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 5.796666667 | 21 | 0.2% |
| 5.98 | 20 | 0.2% |
| 6.26 | 18 | 0.2% |
| 6.32 | 18 | 0.2% |
| 5.833333333 | 17 | 0.2% |
| 5.46 | 17 | 0.2% |
| 6.036666667 | 17 | 0.2% |
| 5.72 | 17 | 0.2% |
| 5.853333333 | 16 | 0.2% |
| 6.716666667 | 16 | 0.2% |
| Other values (1675) | 7960 | |
| (Missing) | 813 | 9.1% |
| Value | Count | Frequency (%) |
| 5.733333333 | 26 | 0.2% |
| 5.406666667 | 26 | 0.2% |
| 5.68 | 23 | 0.2% |
| 5.61 | 22 | 0.2% |
| 6.706666667 | 22 | 0.2% |
| 5.683333333 | 22 | 0.2% |
| 5.55 | 21 | 0.2% |
| 6.39 | 21 | 0.2% |
| 5.37 | 21 | 0.2% |
| 6.016666667 | 21 | 0.2% |
| Other values (1628) | 10060 | |
| (Missing) | 2722 | 20.9% |
| Value | Count | Frequency (%) |
| 3.386666667 | 1 | < 0.1% |
| 3.516666667 | 1 | < 0.1% |
| 3.54 | 1 | < 0.1% |
| 3.586666667 | 1 | < 0.1% |
| 3.59 | 1 | < 0.1% |
| 3.616666667 | 1 | < 0.1% |
| 3.67 | 1 | < 0.1% |
| 3.773333333 | 1 | < 0.1% |
| 3.833333333 | 2 | |
| 3.836666667 | 3 |
| Value | Count | Frequency (%) |
| 3.086666667 | 1 | < 0.1% |
| 3.103333333 | 1 | < 0.1% |
| 3.173333333 | 1 | < 0.1% |
| 3.393333333 | 1 | < 0.1% |
| 3.44 | 1 | < 0.1% |
| 3.486666667 | 1 | < 0.1% |
| 3.533333333 | 2 | |
| 3.573333333 | 1 | < 0.1% |
| 3.583333333 | 3 | |
| 3.586666667 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 3.086666667 | 1 | < 0.1% |
| 3.103333333 | 1 | < 0.1% |
| 3.173333333 | 1 | < 0.1% |
| 3.393333333 | 1 | < 0.1% |
| 3.44 | 1 | < 0.1% |
| 3.486666667 | 1 | < 0.1% |
| 3.533333333 | 2 | |
| 3.573333333 | 1 | < 0.1% |
| 3.583333333 | 3 | |
| 3.586666667 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 3.386666667 | 1 | < 0.1% |
| 3.516666667 | 1 | < 0.1% |
| 3.54 | 1 | < 0.1% |
| 3.586666667 | 1 | < 0.1% |
| 3.59 | 1 | < 0.1% |
| 3.616666667 | 1 | < 0.1% |
| 3.67 | 1 | < 0.1% |
| 3.773333333 | 1 | < 0.1% |
| 3.833333333 | 2 | |
| 3.836666667 | 3 |
Tempo Stabilność
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 4667 | 5263 |
| Distinct (%) | 57.5% | 51.3% |
| Missing | 840 | 2740 |
| Missing (%) | 9.4% | 21.1% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.065680814 | 0.041465965 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | -0.34533333 | -0.1278 |
| Maximum | 0.62953333 | 0.43613333 |
| Zeros | 0 | 1 |
| Zeros (%) | 0.0% | < 0.1% |
| Negative | 161 | 1076 |
| Negative (%) | 1.8% | 8.3% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | -0.34533333 | -0.1278 |
| 5-th percentile | 0.01243 | -0.010113333 |
| Q1 | 0.033466667 | 0.013 |
| median | 0.053066667 | 0.030933333 |
| Q3 | 0.085783333 | 0.061133333 |
| 95-th percentile | 0.16003667 | 0.12614 |
| Maximum | 0.62953333 | 0.43613333 |
| Range | 0.97486667 | 0.56393333 |
| Interquartile range (IQR) | 0.052316667 | 0.048133333 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 0.049127293 | 0.043747281 |
| Coefficient of variation (CV) | 0.74797022 | 1.0550166 |
| Kurtosis | 7.435185 | 3.8860708 |
| Mean | 0.065680814 | 0.041465965 |
| Median Absolute Deviation (MAD) | 0.0234 | 0.021733333 |
| Skewness | 1.7087449 | 1.4168266 |
| Sum | 532.6714 | 425.73107 |
| Variance | 0.0024134909 | 0.0019138246 |
| Monotonicity | Not monotonic | Not monotonic |
| Value | Count | Frequency (%) |
| 0.02853333333 | 10 | 0.1% |
| 0.0504 | 9 | 0.1% |
| 0.0262 | 9 | 0.1% |
| 0.03293333333 | 8 | 0.1% |
| 0.04506666667 | 8 | 0.1% |
| 0.03973333333 | 8 | 0.1% |
| 0.0368 | 8 | 0.1% |
| 0.03406666667 | 8 | 0.1% |
| 0.02973333333 | 8 | 0.1% |
| 0.03906666667 | 8 | 0.1% |
| Other values (4657) | 8026 | |
| (Missing) | 840 | 9.4% |
| Value | Count | Frequency (%) |
| 0.01713333333 | 14 | 0.1% |
| 0.01446666667 | 11 | 0.1% |
| 0.01326666667 | 10 | 0.1% |
| 0.01706666667 | 10 | 0.1% |
| 0.02453333333 | 10 | 0.1% |
| 0.01393333333 | 10 | 0.1% |
| 0.02466666667 | 10 | 0.1% |
| 0.008333333333 | 10 | 0.1% |
| 0.0142 | 9 | 0.1% |
| 0.02306666667 | 9 | 0.1% |
| Other values (5253) | 10164 | |
| (Missing) | 2740 | 21.1% |
| Value | Count | Frequency (%) |
| -0.3453333333 | 1 | |
| -0.1176 | 1 | |
| -0.08306666667 | 1 | |
| -0.07586666667 | 1 | |
| -0.0754 | 1 | |
| -0.0714 | 1 | |
| -0.06053333333 | 1 | |
| -0.05806666667 | 1 | |
| -0.05666666667 | 1 | |
| -0.05093333333 | 1 |
| Value | Count | Frequency (%) |
| -0.1278 | 1 | |
| -0.1023333333 | 1 | |
| -0.1021333333 | 1 | |
| -0.102 | 1 | |
| -0.08766666667 | 1 | |
| -0.06933333333 | 1 | |
| -0.069 | 1 | |
| -0.06753333333 | 1 | |
| -0.06406666667 | 1 | |
| -0.06393333333 | 1 |
| Value | Count | Frequency (%) |
| -0.1278 | 1 | |
| -0.1023333333 | 1 | |
| -0.1021333333 | 1 | |
| -0.102 | 1 | |
| -0.08766666667 | 1 | |
| -0.06933333333 | 1 | |
| -0.069 | 1 | |
| -0.06753333333 | 1 | |
| -0.06406666667 | 1 | |
| -0.06393333333 | 1 |
| Value | Count | Frequency (%) |
| -0.3453333333 | 1 | |
| -0.1176 | 1 | |
| -0.08306666667 | 1 | |
| -0.07586666667 | 1 | |
| -0.0754 | 1 | |
| -0.0714 | 1 | |
| -0.06053333333 | 1 | |
| -0.05806666667 | 1 | |
| -0.05666666667 | 1 | |
| -0.05093333333 | 1 |
Czas
['Text', 'Text']
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 3800 | 4218 |
| Distinct (%) | 42.5% | 38.5% |
| Missing | 0 | 2055 |
| Missing (%) | 0.0% | 15.8% |
| Memory size | 70.1 KiB | 101.7 KiB |
Length
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Max length | 8 | 8 |
| Median length | 8 | 8 |
| Mean length | 7.5530726 | 7.7023375 |
| Min length | 3 | 3 |
Characters and Unicode
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Total characters | 67600 | 84356 |
| Distinct characters | 15 | 15 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
Unique
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Unique | 1634 | 1566 ? |
| Unique (%) | 18.3% | 14.3% |
Sample
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| 1st row | 01:04:59 | 01:04:03 |
| 2nd row | 01:06:23 | 01:04:24 |
| 3rd row | 01:08:24 | 01:04:40 |
| 4th row | 01:10:16 | 01:09:44 |
| 5th row | 01:10:27 | 01:10:05 |
| Value | Count | Frequency (%) |
| dns | 762 | 8.5% |
| dnf | 38 | 0.4% |
| 02:01:25 | 10 | 0.1% |
| 01:57:35 | 10 | 0.1% |
| 01:51:46 | 8 | 0.1% |
| 01:58:58 | 8 | 0.1% |
| 01:54:33 | 8 | 0.1% |
| 01:43:44 | 8 | 0.1% |
| 01:56:05 | 8 | 0.1% |
| 01:49:07 | 8 | 0.1% |
| Other values (3790) | 8082 |
| Value | Count | Frequency (%) |
| dns | 570 | 5.2% |
| dnf | 82 | 0.7% |
| 01:55:25 | 14 | 0.1% |
| 01:59:43 | 13 | 0.1% |
| 02:10:23 | 11 | 0.1% |
| 01:58:10 | 11 | 0.1% |
| 01:55:21 | 9 | 0.1% |
| 01:58:24 | 9 | 0.1% |
| 02:05:33 | 9 | 0.1% |
| 01:59:29 | 9 | 0.1% |
| Other values (4208) | 10215 |
Most occurring characters
| Value | Count | Frequency (%) |
| : | 16300 | |
| 0 | 12663 | |
| 1 | 8056 | |
| 2 | 8046 | |
| 5 | 4807 | 7.1% |
| 4 | 4610 | 6.8% |
| 3 | 4217 | 6.2% |
| 9 | 1686 | 2.5% |
| 8 | 1653 | 2.4% |
| 7 | 1607 | 2.4% |
| Other values (5) | 3955 | 5.9% |
| Value | Count | Frequency (%) |
| : | 20600 | |
| 0 | 16062 | |
| 2 | 10367 | |
| 1 | 10049 | |
| 5 | 6089 | 7.2% |
| 4 | 5745 | 6.8% |
| 3 | 5001 | 5.9% |
| 9 | 2248 | 2.7% |
| 8 | 2100 | 2.5% |
| 7 | 2078 | 2.5% |
| Other values (5) | 4017 | 4.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 67600 |
| Value | Count | Frequency (%) |
| (unknown) | 84356 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| : | 16300 | |
| 0 | 12663 | |
| 1 | 8056 | |
| 2 | 8046 | |
| 5 | 4807 | 7.1% |
| 4 | 4610 | 6.8% |
| 3 | 4217 | 6.2% |
| 9 | 1686 | 2.5% |
| 8 | 1653 | 2.4% |
| 7 | 1607 | 2.4% |
| Other values (5) | 3955 | 5.9% |
| Value | Count | Frequency (%) |
| : | 20600 | |
| 0 | 16062 | |
| 2 | 10367 | |
| 1 | 10049 | |
| 5 | 6089 | 7.2% |
| 4 | 5745 | 6.8% |
| 3 | 5001 | 5.9% |
| 9 | 2248 | 2.7% |
| 8 | 2100 | 2.5% |
| 7 | 2078 | 2.5% |
| Other values (5) | 4017 | 4.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 67600 |
| Value | Count | Frequency (%) |
| (unknown) | 84356 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| : | 16300 | |
| 0 | 12663 | |
| 1 | 8056 | |
| 2 | 8046 | |
| 5 | 4807 | 7.1% |
| 4 | 4610 | 6.8% |
| 3 | 4217 | 6.2% |
| 9 | 1686 | 2.5% |
| 8 | 1653 | 2.4% |
| 7 | 1607 | 2.4% |
| Other values (5) | 3955 | 5.9% |
| Value | Count | Frequency (%) |
| : | 20600 | |
| 0 | 16062 | |
| 2 | 10367 | |
| 1 | 10049 | |
| 5 | 6089 | 7.2% |
| 4 | 5745 | 6.8% |
| 3 | 5001 | 5.9% |
| 9 | 2248 | 2.7% |
| 8 | 2100 | 2.5% |
| 7 | 2078 | 2.5% |
| Other values (5) | 4017 | 4.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 67600 |
| Value | Count | Frequency (%) |
| (unknown) | 84356 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| : | 16300 | |
| 0 | 12663 | |
| 1 | 8056 | |
| 2 | 8046 | |
| 5 | 4807 | 7.1% |
| 4 | 4610 | 6.8% |
| 3 | 4217 | 6.2% |
| 9 | 1686 | 2.5% |
| 8 | 1653 | 2.4% |
| 7 | 1607 | 2.4% |
| Other values (5) | 3955 | 5.9% |
| Value | Count | Frequency (%) |
| : | 20600 | |
| 0 | 16062 | |
| 2 | 10367 | |
| 1 | 10049 | |
| 5 | 6089 | 7.2% |
| 4 | 5745 | 6.8% |
| 3 | 5001 | 5.9% |
| 9 | 2248 | 2.7% |
| 8 | 2100 | 2.5% |
| 7 | 2078 | 2.5% |
| Other values (5) | 4017 | 4.8% |
Tempo
Real number (ℝ)
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Distinct | 3798 | 4216 |
| Distinct (%) | 46.6% | 40.9% |
| Missing | 800 | 2707 |
| Missing (%) | 8.9% | 20.8% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 5.8064089 | 5.8896096 |
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 3.0805088 | 3.0362645 |
| Maximum | 9.7756182 | 10.076637 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 70.1 KiB | 101.7 KiB |
Quantile statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Minimum | 3.0805088 | 3.0362645 |
| 5-th percentile | 4.360354 | 4.4528324 |
| Q1 | 5.1378684 | 5.2119381 |
| median | 5.6901319 | 5.7719049 |
| Q3 | 6.3774986 | 6.4819863 |
| 95-th percentile | 7.5551473 | 7.6353401 |
| Maximum | 9.7756182 | 10.076637 |
| Range | 6.6951094 | 7.0403729 |
| Interquartile range (IQR) | 1.2396302 | 1.2700482 |
Descriptive statistics
| Analiza danych z półmaratonu Wrocław 2023 | Analiza danych z półmaratonu Wrocław 2024 | |
|---|---|---|
| Standard deviation | 0.96157769 | 0.96023771 |
| Coefficient of variation (CV) | 0.16560626 | 0.16303928 |
| Kurtosis | 0.2203703 | 0.21444315 |
| Mean | 5.8064089 | 5.8896096 |
| Median Absolute Deviation (MAD) | 0.61151932 | 0.62337047 |
| Skewness | 0.50547422 | 0.47789712 |
| Sum | 47322.233 | 60662.979 |
| Variance | 0.92463166 | 0.92205647 |
| Monotonicity | Increasing | Increasing |
| Value | Count | Frequency (%) |
| 5.755708304 | 10 | 0.1% |
| 5.573990677 | 10 | 0.1% |
| 5.298253931 | 8 | 0.1% |
| 5.639567038 | 8 | 0.1% |
| 5.430196729 | 8 | 0.1% |
| 4.917436991 | 8 | 0.1% |
| 5.50288378 | 8 | 0.1% |
| 5.172631745 | 8 | 0.1% |
| 5.280082168 | 7 | 0.1% |
| 5.000395038 | 7 | 0.1% |
| Other values (3788) | 8068 | |
| (Missing) | 800 | 8.9% |
| Value | Count | Frequency (%) |
| 5.471280714 | 14 | 0.1% |
| 5.675120487 | 13 | 0.1% |
| 5.601643359 | 11 | 0.1% |
| 6.180769535 | 11 | 0.1% |
| 5.612704432 | 9 | 0.1% |
| 5.5969029 | 9 | 0.1% |
| 5.95164731 | 9 | 0.1% |
| 5.388322667 | 9 | 0.1% |
| 5.68618156 | 9 | 0.1% |
| 5.503673856 | 9 | 0.1% |
| Other values (4206) | 10197 | |
| (Missing) | 2707 | 20.8% |
| Value | Count | Frequency (%) |
| 3.080508809 | 1 | |
| 3.146875247 | 1 | |
| 3.24247452 | 1 | |
| 3.330963103 | 1 | |
| 3.339653946 | 1 | |
| 3.345184483 | 1 | |
| 3.379947855 | 1 | |
| 3.398909694 | 1 | |
| 3.520581496 | 1 | |
| 3.525321956 | 1 |
| Value | Count | Frequency (%) |
| 3.036264518 | 1 | |
| 3.052856127 | 1 | |
| 3.065497353 | 1 | |
| 3.305680651 | 1 | |
| 3.32227226 | 1 | |
| 3.332543257 | 1 | |
| 3.356245556 | 1 | |
| 3.379157778 | 1 | |
| 3.384688315 | 2 | |
| 3.404440231 | 1 |
| Value | Count | Frequency (%) |
| 3.036264518 | 1 | |
| 3.052856127 | 1 | |
| 3.065497353 | 1 | |
| 3.305680651 | 1 | |
| 3.32227226 | 1 | |
| 3.332543257 | 1 | |
| 3.356245556 | 1 | |
| 3.379157778 | 1 | |
| 3.384688315 | 2 | |
| 3.404440231 | 1 |
| Value | Count | Frequency (%) |
| 3.080508809 | 1 | |
| 3.146875247 | 1 | |
| 3.24247452 | 1 | |
| 3.330963103 | 1 | |
| 3.339653946 | 1 | |
| 3.345184483 | 1 | |
| 3.379947855 | 1 | |
| 3.398909694 | 1 | |
| 3.520581496 | 1 | |
| 3.525321956 | 1 |
Interactions
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Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Correlations
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
| 10 km Miejsce Open | 10 km Tempo | 15 km Miejsce Open | 15 km Tempo | 20 km Miejsce Open | 20 km Tempo | 5 km Miejsce Open | 5 km Tempo | Kategoria wiekowa | Kategoria wiekowa Miejsce | Kraj | Miejsce | Numer startowy | Płeć | Płeć Miejsce | Rocznik | Tempo | Tempo Stabilność | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10 km Miejsce Open | 1.000 | 0.993 | 0.994 | 0.959 | 0.976 | 0.895 | 0.991 | 0.991 | 0.126 | 0.471 | 0.025 | 0.972 | -0.005 | 0.339 | 0.609 | -0.046 | 0.972 | 0.411 |
| 10 km Tempo | 0.993 | 1.000 | 0.995 | 0.971 | 0.982 | 0.913 | 0.969 | 0.969 | 0.158 | 0.473 | 0.000 | 0.979 | -0.007 | 0.334 | 0.614 | -0.049 | 0.979 | 0.465 |
| 15 km Miejsce Open | 0.994 | 0.995 | 1.000 | 0.984 | 0.991 | 0.927 | 0.977 | 0.977 | 0.125 | 0.483 | 0.024 | 0.988 | -0.008 | 0.336 | 0.625 | -0.044 | 0.988 | 0.483 |
| 15 km Tempo | 0.959 | 0.971 | 0.984 | 1.000 | 0.990 | 0.958 | 0.930 | 0.930 | 0.154 | 0.489 | 0.000 | 0.989 | -0.011 | 0.320 | 0.634 | -0.044 | 0.989 | 0.595 |
| 20 km Miejsce Open | 0.976 | 0.982 | 0.991 | 0.990 | 1.000 | 0.967 | 0.953 | 0.953 | 0.121 | 0.499 | 0.015 | 0.999 | -0.004 | 0.325 | 0.645 | -0.041 | 0.999 | 0.574 |
| 20 km Tempo | 0.895 | 0.913 | 0.927 | 0.958 | 0.967 | 1.000 | 0.861 | 0.861 | 0.117 | 0.505 | 0.000 | 0.971 | 0.004 | 0.284 | 0.649 | -0.041 | 0.971 | 0.741 |
| 5 km Miejsce Open | 0.991 | 0.969 | 0.977 | 0.930 | 0.953 | 0.861 | 1.000 | 1.000 | 0.124 | 0.458 | 0.027 | 0.948 | -0.005 | 0.337 | 0.592 | -0.041 | 0.948 | 0.344 |
| 5 km Tempo | 0.991 | 0.969 | 0.977 | 0.930 | 0.953 | 0.861 | 1.000 | 1.000 | 0.166 | 0.458 | 0.038 | 0.948 | -0.005 | 0.318 | 0.592 | -0.041 | 0.948 | 0.344 |
| Kategoria wiekowa | 0.126 | 0.158 | 0.125 | 0.154 | 0.121 | 0.117 | 0.124 | 0.166 | 1.000 | 0.261 | 0.022 | 0.121 | 0.015 | 0.999 | 0.191 | 1.000 | 0.156 | 0.055 |
| Kategoria wiekowa Miejsce | 0.471 | 0.473 | 0.483 | 0.489 | 0.499 | 0.505 | 0.458 | 0.458 | 0.261 | 1.000 | 0.030 | 0.500 | 0.004 | 0.400 | 0.774 | 0.088 | 0.500 | 0.310 |
| Kraj | 0.025 | 0.000 | 0.024 | 0.000 | 0.015 | 0.000 | 0.027 | 0.038 | 0.022 | 0.030 | 1.000 | 0.008 | 0.028 | 0.000 | 0.023 | 0.000 | 0.000 | 0.020 |
| Miejsce | 0.972 | 0.979 | 0.988 | 0.989 | 0.999 | 0.971 | 0.948 | 0.948 | 0.121 | 0.500 | 0.008 | 1.000 | -0.003 | 0.323 | 0.647 | -0.044 | 1.000 | 0.586 |
| Numer startowy | -0.005 | -0.007 | -0.008 | -0.011 | -0.004 | 0.004 | -0.005 | -0.005 | 0.015 | 0.004 | 0.028 | -0.003 | 1.000 | 0.014 | 0.000 | 0.001 | -0.003 | 0.014 |
| Płeć | 0.339 | 0.334 | 0.336 | 0.320 | 0.325 | 0.284 | 0.337 | 0.318 | 0.999 | 0.400 | 0.000 | 0.323 | 0.014 | 1.000 | 0.546 | 0.013 | 0.315 | 0.125 |
| Płeć Miejsce | 0.609 | 0.614 | 0.625 | 0.634 | 0.645 | 0.649 | 0.592 | 0.592 | 0.191 | 0.774 | 0.023 | 0.647 | 0.000 | 0.546 | 1.000 | -0.086 | 0.647 | 0.412 |
| Rocznik | -0.046 | -0.049 | -0.044 | -0.044 | -0.041 | -0.041 | -0.041 | -0.041 | 1.000 | 0.088 | 0.000 | -0.044 | 0.001 | 0.013 | -0.086 | 1.000 | -0.044 | -0.041 |
| Tempo | 0.972 | 0.979 | 0.988 | 0.989 | 0.999 | 0.971 | 0.948 | 0.948 | 0.156 | 0.500 | 0.000 | 1.000 | -0.003 | 0.315 | 0.647 | -0.044 | 1.000 | 0.586 |
| Tempo Stabilność | 0.411 | 0.465 | 0.483 | 0.595 | 0.574 | 0.741 | 0.344 | 0.344 | 0.055 | 0.310 | 0.020 | 0.586 | 0.014 | 0.125 | 0.412 | -0.041 | 0.586 | 1.000 |
Analiza danych z półmaratonu Wrocław 2024
| 10 km Miejsce Open | 10 km Tempo | 15 km Miejsce Open | 15 km Tempo | 20 km Miejsce Open | 20 km Tempo | 5 km Miejsce Open | 5 km Tempo | Kategoria wiekowa | Kategoria wiekowa Miejsce | Kraj | Miejsce | Numer startowy | Płeć | Płeć Miejsce | Rocznik | Tempo | Tempo Stabilność | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10 km Miejsce Open | 1.000 | 0.992 | 0.993 | 0.953 | 0.976 | 0.891 | 0.990 | 0.990 | 0.132 | 0.483 | 0.024 | 0.971 | 0.756 | 0.364 | 0.602 | -0.029 | 0.971 | 0.292 |
| 10 km Tempo | 0.992 | 1.000 | 0.994 | 0.969 | 0.983 | 0.912 | 0.965 | 0.965 | 0.136 | 0.492 | 0.034 | 0.979 | 0.741 | 0.347 | 0.611 | -0.033 | 0.979 | 0.359 |
| 15 km Miejsce Open | 0.993 | 0.994 | 1.000 | 0.982 | 0.993 | 0.927 | 0.972 | 0.972 | 0.129 | 0.501 | 0.023 | 0.989 | 0.748 | 0.356 | 0.623 | -0.033 | 0.989 | 0.379 |
| 15 km Tempo | 0.953 | 0.969 | 0.982 | 1.000 | 0.991 | 0.962 | 0.918 | 0.918 | 0.122 | 0.515 | 0.034 | 0.990 | 0.714 | 0.331 | 0.638 | -0.039 | 0.990 | 0.512 |
| 20 km Miejsce Open | 0.976 | 0.983 | 0.993 | 0.991 | 1.000 | 0.964 | 0.949 | 0.949 | 0.124 | 0.520 | 0.022 | 0.999 | 0.734 | 0.339 | 0.645 | -0.035 | 0.999 | 0.469 |
| 20 km Tempo | 0.891 | 0.912 | 0.927 | 0.962 | 0.964 | 1.000 | 0.852 | 0.852 | 0.106 | 0.535 | 0.039 | 0.969 | 0.669 | 0.282 | 0.661 | -0.042 | 0.969 | 0.655 |
| 5 km Miejsce Open | 0.990 | 0.965 | 0.972 | 0.918 | 0.949 | 0.852 | 1.000 | 1.000 | 0.129 | 0.467 | 0.021 | 0.943 | 0.761 | 0.360 | 0.583 | -0.025 | 0.943 | 0.215 |
| 5 km Tempo | 0.990 | 0.965 | 0.972 | 0.918 | 0.949 | 0.852 | 1.000 | 1.000 | 0.151 | 0.467 | 0.041 | 0.943 | 0.761 | 0.344 | 0.583 | -0.025 | 0.943 | 0.215 |
| Kategoria wiekowa | 0.132 | 0.136 | 0.129 | 0.122 | 0.124 | 0.106 | 0.129 | 0.151 | 1.000 | 0.255 | 0.000 | 0.122 | 0.095 | 1.000 | 0.178 | 1.000 | 0.136 | 0.043 |
| Kategoria wiekowa Miejsce | 0.483 | 0.492 | 0.501 | 0.515 | 0.520 | 0.535 | 0.467 | 0.467 | 0.255 | 1.000 | 0.009 | 0.523 | 0.374 | 0.396 | 0.801 | 0.092 | 0.523 | 0.298 |
| Kraj | 0.024 | 0.034 | 0.023 | 0.034 | 0.022 | 0.039 | 0.021 | 0.041 | 0.000 | 0.009 | 1.000 | 0.025 | 0.000 | 0.000 | 0.019 | 0.000 | 0.062 | 0.161 |
| Miejsce | 0.971 | 0.979 | 0.989 | 0.990 | 0.999 | 0.969 | 0.943 | 0.943 | 0.122 | 0.523 | 0.025 | 1.000 | 0.730 | 0.334 | 0.649 | -0.038 | 1.000 | 0.483 |
| Numer startowy | 0.756 | 0.741 | 0.748 | 0.714 | 0.734 | 0.669 | 0.761 | 0.761 | 0.095 | 0.374 | 0.000 | 0.730 | 1.000 | 0.224 | 0.446 | 0.043 | 0.730 | 0.184 |
| Płeć | 0.364 | 0.347 | 0.356 | 0.331 | 0.339 | 0.282 | 0.360 | 0.344 | 1.000 | 0.396 | 0.000 | 0.334 | 0.224 | 1.000 | 0.513 | 0.006 | 0.327 | 0.067 |
| Płeć Miejsce | 0.602 | 0.611 | 0.623 | 0.638 | 0.645 | 0.661 | 0.583 | 0.583 | 0.178 | 0.801 | 0.019 | 0.649 | 0.446 | 0.513 | 1.000 | -0.089 | 0.649 | 0.376 |
| Rocznik | -0.029 | -0.033 | -0.033 | -0.039 | -0.035 | -0.042 | -0.025 | -0.025 | 1.000 | 0.092 | 0.000 | -0.038 | 0.043 | 0.006 | -0.089 | 1.000 | -0.038 | -0.061 |
| Tempo | 0.971 | 0.979 | 0.989 | 0.990 | 0.999 | 0.969 | 0.943 | 0.943 | 0.136 | 0.523 | 0.062 | 1.000 | 0.730 | 0.327 | 0.649 | -0.038 | 1.000 | 0.483 |
| Tempo Stabilność | 0.292 | 0.359 | 0.379 | 0.512 | 0.469 | 0.655 | 0.215 | 0.215 | 0.043 | 0.298 | 0.161 | 0.483 | 0.184 | 0.067 | 0.376 | -0.061 | 0.483 | 1.000 |
Missing values
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Analiza danych z półmaratonu Wrocław 2023
Analiza danych z półmaratonu Wrocław 2024
Sample
Analiza danych z półmaratonu Wrocław 2023
| Miejsce | Numer startowy | Imię | Nazwisko | Miasto | Kraj | Drużyna | Płeć | Płeć Miejsce | Kategoria wiekowa | Kategoria wiekowa Miejsce | Rocznik | 5 km Czas | 5 km Miejsce Open | 5 km Tempo | 10 km Czas | 10 km Miejsce Open | 10 km Tempo | 15 km Czas | 15 km Miejsce Open | 15 km Tempo | 20 km Czas | 20 km Miejsce Open | 20 km Tempo | Tempo Stabilność | Czas | Tempo | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1.0 | 1787 | TOMASZ | GRYCKO | NaN | POL | UKS BLIZA WŁADYSŁAWOWO | M | 1.0 | M30 | 1.0 | 1992.0 | 00:14:37 | 1.0 | 2.923333 | 00:29:15 | 1.0 | 2.926667 | 00:44:47 | 1.0 | 3.106667 | 01:01:43 | 1.0 | 3.386667 | 0.031400 | 01:04:59 | 3.080509 |
| 1 | 2.0 | 3 | ARKADIUSZ | GARDZIELEWSKI | WROCŁAW | POL | ARKADIUSZGARDZIELEWSKI.PL | M | 2.0 | M30 | 2.0 | 1986.0 | 00:14:48 | 2.0 | 2.960000 | 00:29:43 | 2.0 | 2.983333 | 00:45:26 | 2.0 | 3.143333 | 01:03:08 | 2.0 | 3.540000 | 0.038000 | 01:06:23 | 3.146875 |
| 2 | 3.0 | 3832 | KRZYSZTOF | HADAS | POZNAŃ | POL | NaN | M | 3.0 | M20 | 1.0 | 1996.0 | 00:15:46 | 4.0 | 3.153333 | 00:31:23 | 3.0 | 3.123333 | 00:47:34 | 3.0 | 3.236667 | 01:05:09 | 3.0 | 3.516667 | 0.024067 | 01:08:24 | 3.242475 |
| 3 | 4.0 | 416 | DAMIAN | DYDUCH | KĘPNO | POL | AZS POLITECHNIKA OPOLSKA | M | 4.0 | M30 | 3.0 | 1988.0 | 00:16:11 | 6.0 | 3.236667 | 00:32:10 | 5.0 | 3.196667 | 00:48:49 | 5.0 | 3.330000 | 01:06:54 | 4.0 | 3.616667 | 0.025467 | 01:10:16 | 3.330963 |
| 4 | 5.0 | 8476 | KAMIL | MAŃKOWSKI | MIRKÓW | POL | PARKRUN WROCŁAW | M | 5.0 | M20 | 2.0 | 1995.0 | 00:16:12 | 7.0 | 3.240000 | 00:32:35 | 7.0 | 3.276667 | 00:49:31 | 7.0 | 3.386667 | 01:07:27 | 5.0 | 3.586667 | 0.023000 | 01:10:27 | 3.339654 |
| 5 | 6.0 | 2551 | ADAM | PUTYRA | WROCŁAW | POL | NaN | M | 6.0 | M40 | 1.0 | 1983.0 | 00:16:09 | 5.0 | 3.230000 | 00:32:30 | 6.0 | 3.270000 | 00:49:31 | 6.0 | 3.403333 | 01:07:28 | 6.0 | 3.590000 | 0.024267 | 01:10:34 | 3.345184 |
| 6 | 7.0 | 1288 | MICHAŁ | WÓJCIK | KROŚNICE | POL | WOSIEK TEAM KS AZS AWF WROCŁAW | M | 7.0 | M20 | 3.0 | 1999.0 | 00:15:37 | 3.0 | 3.123333 | 00:31:25 | 4.0 | 3.160000 | 00:48:18 | 4.0 | 3.376667 | 01:07:38 | 7.0 | 3.866667 | 0.048933 | 01:11:18 | 3.379948 |
| 7 | 8.0 | 7837 | PATRYK | CHRZANOWSKI | BIELAWA | POL | PCH SPORT COMPLEX | M | 8.0 | M30 | 4.0 | 1989.0 | 00:16:30 | 8.0 | 3.300000 | 00:32:55 | 8.0 | 3.283333 | 00:49:57 | 8.0 | 3.406667 | 01:08:18 | 8.0 | 3.670000 | 0.024667 | 01:11:42 | 3.398910 |
| 8 | 9.0 | 5657 | CYPRIAN | GRZELKA | POGRZEBIEŃ | POL | GKS PIAST GLIWICE | M | 9.0 | M20 | 4.0 | 2001.0 | 00:17:10 | 14.0 | 3.433333 | 00:34:23 | 16.0 | 3.443333 | 00:52:11 | 12.0 | 3.560000 | 01:11:03 | 10.0 | 3.773333 | 0.022733 | 01:14:16 | 3.520581 |
| 9 | 10.0 | 5927 | ADAM | KONIECZNY | ZANIEMYSL | POL | NaN | M | 10.0 | M30 | 5.0 | 1992.0 | 00:16:53 | 11.0 | 3.376667 | 00:33:55 | 11.0 | 3.406667 | 00:51:39 | 10.0 | 3.546667 | 01:10:50 | 9.0 | 3.836667 | 0.030400 | 01:14:22 | 3.525322 |
Analiza danych z półmaratonu Wrocław 2024
| Miejsce | Numer startowy | Imię | Nazwisko | Miasto | Kraj | Drużyna | Płeć | Płeć Miejsce | Kategoria wiekowa | Kategoria wiekowa Miejsce | Rocznik | 5 km Czas | 5 km Miejsce Open | 5 km Tempo | 10 km Czas | 10 km Miejsce Open | 10 km Tempo | 15 km Czas | 15 km Miejsce Open | 15 km Tempo | 20 km Czas | 20 km Miejsce Open | 20 km Tempo | Tempo Stabilność | Czas | Tempo | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1.0 | 596 | NIKODEM | DWORCZAK | KOŚCIAN | POL | NaN | M | 1.0 | M20 | 1.0 | 1998.0 | 00:15:06 | 3.0 | 3.020000 | 00:29:42 | 3.0 | 2.920000 | 00:45:07 | 2.0 | 3.083333 | 01:00:33 | 1.0 | 3.086667 | 0.007267 | 01:04:03 | 3.036265 |
| 1 | 2.0 | 616 | MATEUSZ | KACZOR | RADOM | POL | RLTL OPTIMA RADOM | M | 2.0 | M20 | 2.0 | 1997.0 | 00:15:06 | 4.0 | 3.020000 | 00:29:42 | 1.0 | 2.920000 | 00:45:07 | 3.0 | 3.083333 | 01:00:38 | 2.0 | 3.103333 | 0.008267 | 01:04:24 | 3.052856 |
| 2 | 3.0 | 154 | PATRYK | KOZŁOWSKI | RADOM | POL | RLTL-ZTE-RADOM | M | 3.0 | M20 | 3.0 | 1998.0 | 00:15:06 | 2.0 | 3.020000 | 00:29:42 | 2.0 | 2.920000 | 00:45:07 | 1.0 | 3.083333 | 01:00:59 | 3.0 | 3.173333 | 0.012467 | 01:04:40 | 3.065497 |
| 3 | 4.0 | 591 | DARIUSZ | BORATYŃSKI | WROCŁAW | POL | WOSIEK TEAM AZS AWF WROCŁAW | M | 4.0 | M20 | 4.0 | 1997.0 | 00:15:47 | 7.0 | 3.156667 | 00:31:20 | 5.0 | 3.110000 | 00:47:48 | 4.0 | 3.293333 | 01:05:40 | 4.0 | 3.573333 | 0.028667 | 01:09:44 | 3.305681 |
| 4 | 5.0 | 521 | SZYMON | DOROŻYŃSKI | LUBON | POL | SZYMI TEAM AZS POLITECHNIKA OPOLSKA | M | 5.0 | M30 | 1.0 | 1992.0 | 00:15:07 | 5.0 | 3.023333 | 00:30:53 | 4.0 | 3.153333 | 00:48:09 | 5.0 | 3.453333 | 01:06:05 | 5.0 | 3.586667 | 0.039800 | 01:10:05 | 3.322272 |
| 5 | 6.0 | 342 | SZYMON | GUMKOWSKI | GDAŃSK | POL | SZYMON GUMKOWSKI TEAM RUN RADICAL | M | 6.0 | M20 | 5.0 | 1999.0 | 00:16:35 | 9.0 | 3.316667 | 00:32:45 | 6.0 | 3.233333 | 00:49:34 | 6.0 | 3.363333 | 01:06:32 | 6.0 | 3.393333 | 0.007200 | 01:10:18 | 3.332543 |
| 6 | 7.0 | 234 | ADAM | PUTYRA | WROCŁAW | POL | NaN | M | 7.0 | M40 | 1.0 | 1983.0 | 00:16:45 | 15.0 | 3.350000 | 00:33:06 | 12.0 | 3.270000 | 00:49:47 | 8.0 | 3.336667 | 01:06:59 | 7.0 | 3.440000 | 0.006733 | 01:10:48 | 3.356246 |
| 7 | 8.0 | 455 | ROMAN | ADAMOVICH | LESZNO | INN | ACHILLES LESZNO | M | 8.0 | M20 | 6.0 | 1996.0 | 00:15:23 | 6.0 | 3.076667 | 00:33:16 | 14.0 | 3.576667 | 00:49:47 | 7.0 | 3.303333 | 01:07:13 | 8.0 | 3.486667 | 0.019133 | 01:11:17 | 3.379158 |
| 8 | 9.0 | 568 | KAMIL | MAŃKOWSKI | WROCŁAW | POL | PARKRUN WROCŁAW | M | 9.0 | M20 | 7.0 | 1995.0 | 00:16:37 | 12.0 | 3.323333 | 00:32:57 | 11.0 | 3.266667 | 00:49:54 | 12.0 | 3.390000 | 01:07:34 | 9.0 | 3.533333 | 0.015067 | 01:11:24 | 3.384688 |
| 9 | 10.0 | 379 | DAMIAN | DYDUCH | KĘPNO | POL | AZS KU POLITECHNIKA OPOLSKA | M | 10.0 | M30 | 2.0 | 1988.0 | 00:16:42 | 14.0 | 3.340000 | 00:32:57 | 10.0 | 3.250000 | 00:49:54 | 11.0 | 3.390000 | 01:07:34 | 10.0 | 3.533333 | 0.014400 | 01:11:24 | 3.384688 |
Analiza danych z półmaratonu Wrocław 2023
| Miejsce | Numer startowy | Imię | Nazwisko | Miasto | Kraj | Drużyna | Płeć | Płeć Miejsce | Kategoria wiekowa | Kategoria wiekowa Miejsce | Rocznik | 5 km Czas | 5 km Miejsce Open | 5 km Tempo | 10 km Czas | 10 km Miejsce Open | 10 km Tempo | 15 km Czas | 15 km Miejsce Open | 15 km Tempo | 20 km Czas | 20 km Miejsce Open | 20 km Tempo | Tempo Stabilność | Czas | Tempo | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8940 | NaN | 3857 | GRZEGORZ | ŁUKASIEWICZ | NaN | NaN | Stan-mit | M | NaN | M50 | NaN | 1967.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
| 8941 | NaN | 1663 | TOMASZ | ŁUĆ | NaN | NaN | NaN | M | NaN | M40 | NaN | 1976.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
| 8942 | NaN | 8041 | JOANNA | ŁĄCKA | NaN | NaN | NaN | K | NaN | K40 | NaN | 1977.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
| 8943 | NaN | 8042 | WIKTORIA | ŁĄCKA | NaN | NaN | NaN | K | NaN | K20 | NaN | 2003.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
| 8944 | NaN | 4128 | ADAM | ŻELUK | NaN | NaN | NaN | M | NaN | M40 | NaN | 1983.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
| 8945 | NaN | 8901 | KAROL | ŻUKOWSKI | NaN | NaN | Ovb Polska | M | NaN | M30 | NaN | 1990.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNF | NaN |
| 8946 | NaN | 659 | KORNELIA | ŻUKROWSKA | NaN | NaN | NaN | K | NaN | K30 | NaN | 1988.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
| 8947 | NaN | 6402 | MAGDALENA | ŻÓRAŃSKA | NaN | NaN | Iławskie Świry Biegowe | K | NaN | K40 | NaN | 1981.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
| 8948 | NaN | 2771 | KATARZYNA | ĆWIĄKALSKA | NaN | NaN | NaN | K | NaN | K40 | NaN | 1982.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
| 8949 | NaN | 2773 | JULIUSZ | ĆWIĄKALSKI | NaN | NaN | NaN | M | NaN | M40 | NaN | 1983.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
Analiza danych z półmaratonu Wrocław 2024
| Miejsce | Numer startowy | Imię | Nazwisko | Miasto | Kraj | Drużyna | Płeć | Płeć Miejsce | Kategoria wiekowa | Kategoria wiekowa Miejsce | Rocznik | 5 km Czas | 5 km Miejsce Open | 5 km Tempo | 10 km Czas | 10 km Miejsce Open | 10 km Tempo | 15 km Czas | 15 km Miejsce Open | 15 km Tempo | 20 km Czas | 20 km Miejsce Open | 20 km Tempo | Tempo Stabilność | Czas | Tempo | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 12997 | NaN | 23496 | RAFAŁ | ŻULIŃSKI | NaN | NaN | NaN | M | NaN | M40 | NaN | 1980.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 12998 | NaN | 78027 | SEBASTIAN | ŻURAWSKI | NaN | NaN | NaN | M | NaN | M30 | NaN | 1988.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 12999 | NaN | 21184 | KAMIL | ŻUREK | NaN | NaN | #2268 | M | NaN | M30 | NaN | 1985.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 13000 | NaN | 25626 | JAGODA | ŻUREK | NaN | NaN | Brak | K | NaN | K20 | NaN | 1995.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 13001 | NaN | 77701 | JAN | ŻUREK | NaN | NaN | Biegający Emeryt | M | NaN | M60 | NaN | 1960.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 13002 | NaN | 6445 | ANNA | ŻUROWSKA | NaN | NaN | NaN | K | NaN | K40 | NaN | 1982.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
| 13003 | NaN | 23495 | JUSTYNA | ŻYGADŁO | NaN | NaN | NaN | K | NaN | K20 | NaN | 1998.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 13004 | NaN | 9323 | DAWID | ŻYTKOWSKI | NaN | NaN | NaN | M | NaN | M20 | NaN | 1995.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | DNS | NaN |
| 13005 | NaN | 27386 | DOMINIKA | ĆWIERTNIA | NaN | NaN | NaN | K | NaN | K30 | NaN | 1991.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 13006 | NaN | 80025 | KRZYSZTOF | ĆWIĘK | NaN | NaN | Pko | M | NaN | M30 | NaN | 1988.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
Duplicate rows
Analiza danych z półmaratonu Wrocław 2023
| Miejsce | Numer startowy | Imię | Nazwisko | Miasto | Kraj | Drużyna | Płeć | Płeć Miejsce | Kategoria wiekowa | Kategoria wiekowa Miejsce | Rocznik | 5 km Czas | 5 km Miejsce Open | 5 km Tempo | 10 km Czas | 10 km Miejsce Open | 10 km Tempo | 15 km Czas | 15 km Miejsce Open | 15 km Tempo | 20 km Czas | 20 km Miejsce Open | 20 km Tempo | Tempo Stabilność | Czas | Tempo | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | ||||||||||||||||||||||||||||
Analiza danych z półmaratonu Wrocław 2024
| Miejsce | Numer startowy | Imię | Nazwisko | Miasto | Kraj | Drużyna | Płeć | Płeć Miejsce | Kategoria wiekowa | Kategoria wiekowa Miejsce | Rocznik | 5 km Czas | 5 km Miejsce Open | 5 km Tempo | 10 km Czas | 10 km Miejsce Open | 10 km Tempo | 15 km Czas | 15 km Miejsce Open | 15 km Tempo | 20 km Czas | 20 km Miejsce Open | 20 km Tempo | Tempo Stabilność | Czas | Tempo | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | ||||||||||||||||||||||||||||